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Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery


Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.

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Sean Ekins Pharmaceutical Applications of Raman Spectroscopy


Raman spectroscopy has advanced in recent years with increasing use both in industry and academia. This is due largely to steady improvements in instrumentation, decreasing cost, and the availability of chemometrics to assist in the analysis of data. Pharmaceutical applications of Raman spectroscopy have developed similarly and this book will focus on those applications. Carefully organized with an emphasis on industry issues, Pharmaceutical Applications of Raman Spectroscopy, provides the basic theory of Raman effect and instrumentation, and then addresses a wide range of pharmaceutical applications. Current applications that are routinely used as well as those with promising potential are covered. Applications cover a broad range from discovery to manufacturing in the pharmaceutical industry and include identifying polymorphs, monitoring real-time processes, imaging solid dosage formulations, imaging active pharmaceutical ingredients in cells, and diagnostics.

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Jamie MacLennan Data Mining with Microsoft SQL Server 2008


Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.

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Sushmita Mitra Data Mining


First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining

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Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management


Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

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Giudici Paolo Applied Data Mining for Business and Industry


The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.

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Pawel Cichosz Data Mining Algorithms


Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.

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Antonios Chorianopoulos Effective CRM using Predictive Analytics


A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.

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Mourad Elloumi Biological Knowledge Discovery Handbook


The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)—providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.

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И. И. Холод Технологии анализа данных: Data Mining, Visual Mining, Text Mining, OLAP


Книга является вторым, обновленным и дополненным, изданием учебного пособия «Методы и модели анализа данных: OLAP и Data Mining». Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных. Приведено описание методов и алгоритмов решения основных задач анализа: классификации, кластеризации и др. Описание идеи каждого метода дополняется конкретным примером его применения. Для студентов и специалистов в области анализа данных.

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Sean Ekins - Wikipedia

Sean Ekins is a British pharmacologist and expert in the fields of ADME/Tox, computational toxicology and cheminformatics at Collaborations in Chemistry, a division of corporate communications firm Collaborations in Communications. He is also the editor of four books and a book series for John Wiley & Sons. Biography. Sean Ekins is a scientific leader with over twenty-three years of broad ...

The Next Era: Deep Learning in Pharmaceutical Research ...

The Next Era: Deep Learning in Pharmaceutical Research. Sean Ekins ORCID: orcid.org ... Sean Ekins. Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, California, 94010, USA. Sean Ekins. Authors. Sean Ekins. View author publications. You can also search for this author in PubMed Google Scholar. Corresponding author. Correspondence to Sean Ekins. Ethics declarations ...

Computer Applications in Pharmaceutical Research and ...

SEAN EKINS, PHD, DSC, is an Adjunct Associate Professor in the Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy.Dr. Ekins is the author of more than seventy peer-reviewed papers and book chapters as well as several patents. He serves on editorial boards for the Journal of Pharmacological and Toxicological Methods, Drug Metabolism and Disposition, Drug Discovery ...

Sean Ekins - im4tb.org

Sean Ekins is an expert in the fields of ADME/Tox, ... >270 peer reviewed papers and book chapters as well as edited five books and a book series on technologies for the pharmaceutical industry for Wiley. Sean also co-developed the mobile apps Green Solvents and TB Mobile and has been awarded multiple NIH grants as PI. While working for Collaborative Drug Discovery, (funded by the Bill and ...

Sean Ekins - UNC Eshelman School of Pharmacy

UNC Eshelman School of Pharmacy 301 Pharmacy Lane, CB#7355 Chapel Hill, NC 27599-7355 (919) 966-9786 Directions & Parking Chapel Hill Visitors Bureau

Sean Ekins presentations | SlideShare

He is Adjunct Associate Professor, School of Pharmacy Department of Pharmaceutical Sciences, University of Maryland and Senior Consultant at Collaborations in Chemistry Inc. He is also on the scientific advisory board for Emiliem Inc. and the advisory board for Chemical Informatics at Indiana U... Followers (78) Following (6)

Sean Ekins (editor), Binghe Wang (series editor): Computer ...

Sean Ekins (editor), Binghe Wang (series editor): Computer applications in pharmaceutical research and development. Wiley, 2006. Authors; Authors and affiliations; Péter Érdi ; Book Review. First Online: 29 November 2006. 81 Downloads; 1 Citations; The book under review is an extremely intelligent survey of the computers and computational methods in pharmaceutical sciences. It offers an ...

News — Collaborations Pharmaceuticals, Inc.

August 5, 2020 Sean Ekins Raleigh, North Carolina – NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES at the National Institutes of Health has awarded $124,915 to Collaborations Pharmaceuticals, Inc. (CPI) under the Administrative Supplements to Promote and Expand into the Research and Development of Medical Countermeasures Against Chemical Threats.

News — Collaborations Pharmaceuticals, Inc.

“Macrolactones are titanic molecules – their size presents challenges to researchers who may want to work with them,” says Sean Ekins, CEO of Collaborations Pharmaceuticals, member of NC State’s Comparative Medicine Institute, entrepreneur in residence at UNC-Chapel Hill’s Eshelman School of Pharmacy and corresponding author of the research.

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ChemSpider | Data Source Details | Sean Ekins

Sean Ekins areas of interest are in vitro and computational ADME/Tox, Systems Biology, informatics and computer-aided drug discovery. Sean has joined the advisory board to promote the use of ChemSpider to pharmacologists, using the tool to inform SAR and drug discovery research. He has worked as a senior scientist at Pfizer, Lilly Research Laboratories, Concurrent Pharmaceuticals, Inc. and ...

Sean Ekins - Collaborations Pharmaceuticals | Rare Disease ...

Sean Ekins. CEO at Collaborations Pharmaceuticals. Agenda Sessions. Examine Opportunities to Repurpose Current Drugs and Therapies for Rare Diseases. Dec 01, 2:45pm. View Session. EXPLORE NOVEL FUNDING MODELS TO DE-RISK DRUG DEVELOPMENT. Dec 02, 2:35pm. View Session. Speakers at this event. Prev. Next. David Fajgenbaum, MD. Co-founder and Executive Director. Castleman Disease Collaborative ...

Repurposing pyronaridine as a treatment for Chagas disease ...

Ekins, Sean; Sabino, Ester Cerdeira; Siqueira-Neto, Jair Lage / Collaborations Pharmaceuticals, Inc. NIH 2018 UH2 TR: Repurposing pyronaridine as a treatment for Chagas disease Ekins, Sean; Sabino, Ester Cerdeira; Siqueira-Neto, Jair Lage / Collaborations Pharmaceuticals, Inc. NIH 2017 UH2 TR: Repurposing pyronaridine as a treatment for Chagas ...

Raleigh life science startup Collaborations ...

Sean Ekins The lab gap has since been remedied. Collaborations Pharma has rented space on the Centennial Campus at North Carolina State University for three years.

‪sean ekins‬ - ‪Google Scholar‬

‪Collaborations Pharmaceuticals, Inc.‬ - ‪Cited by 17,923‬ - ‪drug discovery‬ - ‪rare diseases‬ - ‪neglected diseases‬ - ‪machine learning‬

Computer Applications In Pharmaceutical Research And ...

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Sean ekins pharmaceutical applications - Отличный выбор!

Sean ekins pharmaceutical applications - лучшие цены для покупки в online! Найти Sean ekins pharmaceutical applications в лучших интернет магазинах.

Collaborations Pharmaceuticals, Built Around ...

Sean Ekins. The lab gap has since been remedied. Collaborations Pharma has rented space on the Centennial Campus at North Carolina State University for three years. The company, while not affiliated with N.C. State, has partnered on projects with several programs there – toxicology, veterinary science, engineering and chemistry among them.

Pharmaceutical And Biomedical Project Management In A ...

Pharmaceutical And Biomedical Project Management In A Changing Global Environment Ekins Sean Babler Scott D.pdf pharmaceutical employment (drug manufacturing companies) will increase by 11 To speed a vaccine, thousands volunteer to be infected with the coronavirus. But that's not happening. Yet. Even without the ethical problem, there is a question about whether a challenge trial would be ...

Sean Ekins - figshare

Sean Ekins. 0000-0002-5691-5790. senior consultant (Cheminformatics) Fuquay Varina, NC, USA. Follow. Sean is currently co-founder and CEO at Phoenix Nest focused on Sanfilippo Syndrome rare disease drug discovery and Founder and CEO and founder of Collaborations Pharmaceuticals, Inc. which is focused on rare and infectious diseases. He is also the CSO of the Hereditary Neuropathy Foundation ...

Sean Ekins - Amazon.com: Online Shopping for Electronics ...

Sean Ekins is CEO of Collaborations Pharmaceuticals, Inc. and Phoenix Nest Inc. He graduated from the University of Aberdeen; receiving his M.Sc., Ph.D. and D.Sc.

Sean EKINS | CEO | PhD, DSc

Sean Ekins Peter B. Madrid Tilorone is a 50-year-old synthetic small-molecule compound with antiviral activity that is proposed to induce interferon after oral administration.

Computer Applications in Pharmaceutical Research and ...

Computer Applications in Pharmaceutical Research and Development (Wiley Series in Drug Discovery and Development Book 2) - Kindle edition by Ekins, Sean, Ekins, Sean. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Computer Applications in Pharmaceutical Research and Development (Wiley Series in ...

Wiley: The Engines of Hippocrates: From the Dawn of ...

by Sean Ekins (Editor), Maggie A. Z. Hupcey (Editor), Antony J. Williams (Editor), Alpheus Bingham (Foreword by) Pharmaceutical and Biomedical Project Management in a Changing Global Environment by Scott D. Babler (Editor), Sean Ekins (Series Editor)

Computer Applications In Pharmaceutical Research And ...

Computer Applications In Pharmaceutical Research And Development | Sean Ekins | ISBN: 9788126569557 | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

Computer Applications in Pharmaceutical Research and ...

Computer Applications in Pharmaceutical Research and Development Edited by Sean Ekins. John Wiley & Sons, Inc., Hoboken, NJ. 2006. xix + 805 pp. 16 × 24 cm. ISBN 0-471-73779-8. $125.00. Glen E. Kellogg; View Author Information. Department of Medicinal Chemistry School of Pharmacy Virginia Commonwealth University Richmond, Virginia 23298-0540 . Cite this: J. Med. Chem. 2006, 49, 26, 7923 ...

Computer Applications in Pharmaceutical Research and ...

SEAN EKINS, PHD, DSC, is an Adjunct Associate Professor in the Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy.Dr. Ekins is the author of more than seventy peer-reviewed papers and book chapters as well as several patents. He serves on editorial boards for the Journal of Pharmacological and Toxicological Methods, Drug Metabolism and Disposition, Drug Discovery ...

computers in pharmaceutical R&D - SlideShare

computers in pharmaceutical R&D 1. Computer Applications in SAVEPharmaceutical Research 15%!and Development Order your copy now and receive a 15% discount. Just mention promo code EKNF7 to receiveSean Ekins your discount.Part of the Wiley Series in Drug Discovery& Development, Series Editor: Binghe Wang0-471-73779-8 805 pages Cloth June 2006List Price: $125.00 Discount Price: $106.25A unique ...

Repurposing pyronaridine as a treatment for the Ebola ...

Ekins, Sean; Davey, Robert A. / Collaborations Pharmaceuticals, Inc. NIH 2016 R21 TR: Repurposing pyronaridine as a treatment for the Ebola virus Ekins, Sean; Davey, Robert A. / Collaborations Pharmaceuticals, Inc. $288,801 Publications. Ekins, Sean; Lingerfelt, Mary A; Comer, Jason E et al. (2018) Efficacy of Tilorone Dihydrochloride against Ebola Virus Infection. Antimicrob Agents Chemother ...

Chemistry - Collaborations in Communications, Inc.

Sean Ekins graduated from the University of Aberdeen; receiving his M.Sc., Ph.D. and D.Sc. His areas of interest are in vitro and computational ADME/Tox, biomarkers, systems biology, computational drug discovery and Tuberculosis research. He was a postdoctoral fellow at Lilly Research Laboratories in the drug disposition group. He has worked as a senior scientist at Pfizer and Lilly Research ...

Computer applications in pharmaceutical research and ...

[et al.] -- Drug discovery from historic herbal texts / Eric J. Buenz -- Contextualizing the impact of bioinformatics on preclinical drug and vaccine discovery / Darren R. Flower -- Computers and systems biology for pharmaceutical research and development / Sean Ekins and Craig Giroux -- Information management-biodata in life sciences / Richard K. Scott and Anthony Parsons -- Chemoinformatics ...

Computer Applications in Pharmaceutical Research and ...

SEAN EKINS, PHD, DSC, is an Adjunct Associate Professor in the Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy. Dr. Ekins is the author of more than seventy peer-reviewed papers and book chapters as well as several patents. He serves on editorial boards for the Journal of Pharmacological and Toxicological ...

Sean Ekins · OverDrive: ebooks, audiobooks, and videos for ...

Sean Ekins, MSc, PhD, DSc has over 20 years of pharmaceutical and toxicology experience. He is the founder or co-founder of two companies and Adjunct Professor at three universities. He has been awarded 15 NIH grants as Principal Investigator. He ...

Team — Phoenix Nest Inc.

Prior to his return to academic research in 2006, he spent eight years in the pharmaceutical industry as a medicinal chemist. His undergraduate and master’s degree training were in chemical engineering at Cornell University as a McMullen Dean’s Scholar. He received his doctorate in organic chemistry from the Massachusetts Institute of Technology under the tutelage of 2005 Nobel Prize in ...

Computer Applications in Pharmaceutical Research and ...

A unique, holistic approach covering all functions and phases of pharmaceutical research and development While there are a number of texts dedicated to individual aspects of pharmaceutical research and development, this unique contributed work takes a holistic and integrative approach to the use of computers in all phases of drug discovery, development, and marketing.

Reengineering Translational Science - Collaborative Chemistry

Sean Ekins 1 and Antony J. Williams 2. 1 Collaborations in Chemistry,5616 Hilltop Needmore Road,Fuquay-Varina,NC27526,U.S.A. 2 Royal Society of Chemistry,904 Tamaras Circle,Wake Forest,NC27587,U.S.A. We read with interest Dr. Collins’ Commentary on Reengineering Translational Science: The time is Right. We agree that there is an urgent need to revamp the way that drugs are developed, bring ...

Computer Applications in Pharmaceutical Research and ...

Sean Ekins, Binghe Wang A unique, holistic approach covering all functions and phases of pharmaceutical research and developmentWhile there are a number of texts dedicated to individual aspects of pharmaceutical research and development, this unique contributed work takes a holistic and integrative approach to the use of computers in all phases of drug discovery, development, and marketing.

Computer Applications in Pharmaceutical Research and ...

Buy Computer Applications in Pharmaceutical Research and Development: 2 (Wiley Series in Drug Discovery and Development) 1 by Ekins, Sean, Wang, Binghe (ISBN: 9780471737797) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.

Sean Ekins (editor), Binghe Wang (series editor): Computer ...

Read "Sean Ekins (editor), Binghe Wang (series editor): Computer applications in pharmaceutical research and development, Structural Chemistry" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Struct Chem (2006) 17:667–668 DOI 10.1007/s11224-006-9122-1 BOOK REVIEW Sean Ekins (editor), Binghe Wang ...

Exploiting machine learning for end-to-end drug discovery ...

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The Agile Approach to Adaptive Research: Optimizing ...

The Agile Approach to Adaptive Research: Optimizing Efficiency in Clinical Development: Improving Design, Efficiency, and Results Wiley Series on Technologies for the Pharmaceutical Industry: Amazon.co.uk: Rosenberg, Michael J., Ekins, Sean: Books

Using Bibliometric Analysis and Machine Learning to ...

† Collaborations Pharmaceuticals, Inc. , 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, 1 author. 2. ‡ ParlezChem , 123 W Union Street, Hillsborough, North Carolina 27278, ACS Omega, 20 Jan 2021, 6(4): 3186-3193 PMCID: PMC7860073. Free to read & use . Share this article Share with email Share with twitter Share with linkedin Share with facebook. Abstract . Rare diseases ...

Sean Ekins - Fuquay Varina, North Carolina | Professional ...

Sean Ekins | Fuquay Varina, North Carolina | 500+ connections | See Sean's complete profile on Linkedin and connect

Sean Ekins eBooks - eBooks.com

Sean Ekins eBooks. Buy Sean Ekins eBooks to read online or download in PDF or ePub on your PC, tablet or mobile device.

Pharmaceutical and Biomedical Project Management in a ...

Pharmaceutical and Biomedical Project Management in a Changing Global Environment. by Sean Ekins. Wiley Series on Technologies for the Pharmaceutical Industry (Book 11) Thanks for Sharing! You submitted the following rating and review. We'll publish them on our site once we've reviewed them.

Pharmacoeconomics - Wikipedia

Pharmacoeconomics refers to the scientific discipline that compares the value of one pharmaceutical drug or drug therapy to another. It is a sub-discipline of health economics.A pharmacoeconomic study evaluates the cost (expressed in monetary terms) and effects (expressed in terms of monetary value, efficacy or enhanced quality of life) of a pharmaceutical product.

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Группа авторов Data Mining Cookbook


Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.

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Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management


The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.

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Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining


The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

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Paul Attewell Data Mining for the Social Sciences


We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.

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Meta Brown S. Data Mining For Dummies


Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

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Russell Anderson K. Visual Data Mining. The VisMiner Approach


A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. Key features: Presents visual support for all phases of data mining including dataset preparation. Provides a comprehensive set of non-trivial datasets and problems with accompanying software. Features 3-D visualizations of multi-dimensional datasets. Gives support for spatial data analysis with GIS like features. Describes data mining algorithms with guidance on when and how to use. Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice. Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes. In praise of the VisMiner approach: «What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes» —Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA «Students learn best when they are able to visualize relationships between data and results during the data mining process. VisMiner is easy to learn and yet offers great visualization capabilities throughout the data mining process. My students liked it very much and so did I.» —Dr. Douglas Dean, Assoc. Professor of Information Systems, Marriott School, Brigham Young University, USA

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