Title Statements
- Full title :Introduction to Data Mining for the Life Sciences.
Summary
Data mining involves uncovering the patterns inherent within the data Provides a set of techniques that can help the life scientist leverage the valuable data asset With each set of techniques are tangible examples to support them.
Read More ↓Edition Statements
- Publication Date:2012.
Publication Statements
- Publisher(s):Humana Press
- Place of Publication:Totowa, NJ
- Language:eng
- Publication Date:2012.
Notes
""3.19 Conclusion""
The Physical Object
- Description:1 online resource (643 pages)
Edition Identifiers
- ISBN:1588299422, 9781588299420, 1627039481, 9781627039482
- DOI:10.1007/978-1-59745-290-8
- oclc:ocn990399504
- LC Classification:QA76.9.D343 S85 2012
- Dewey Decimal:006.3/12
Table of Contents
""Introduction to Data Mining for the Life Sciences ""; ""Preface""; ""Contents""; ""Chapter 1: Introduction""; ""1.1 Context""; ""1.2 New Scientific Techniques, New Data Challenges in Life Sciences""; ""1.3 The Ethics of Data Mining""; ""1.4 Data Mining: Problems and Issues""; ""1.5 From Data to Information: The Process""; ""1.5.1 CRISP-DM""; ""1.5.1.1 Business Understanding""; ""1.5.1.2 Data Understanding""; ""1.5.1.3 Data Preparation""; ""1.5.1.4 Modeling""; ""1.5.1.5 Evaluation Phase""; ""1.5.1.6 Deployment""; ""1.6 What Can Be Mined?""; ""1.7 Standards and Terminologies""
""1.8 Interestingness""""1.9 How Good Is Good Enough?""; ""1.10 The Datasets Used in This Book""; ""1.11 The Rest of the Story""; ""1.12 What Have We Missed in the Introduction?""; ""References""; ""Chapter 2: Fundamental Concepts""; ""2.1 Introduction""; ""2.2 Data Mining Activities""; ""2.3 Models""; ""2.4 Input Representation""; ""2.5 Missing Data""; ""2.6 Does Data Expire?""; ""2.7 Frequent Patterns""; ""2.8 Bias""; ""2.9 Generalization""; ""2.10 Data Characterization and Discrimination""; ""2.11 Association Analysis""; ""2.12 Classification and Prediction""; ""2.12.1 Relevance Analysis""
""2.13 Cluste…
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