Cover image for Multi-Relational Data Mining.
Multi-Relational Data Mining.
Title:
Multi-Relational Data Mining.
Author:
Knobbe, A.J.
ISBN:
9781607501985
Personal Author:
Physical Description:
1 online resource (128 pages)
Contents:
Title page -- Contents -- Acknowledgements -- Introduction -- Data Mining -- Propositional Data Mining -- Structured Data Mining -- Multi-Relational Data Mining -- Outline of this text -- Structured Data Mining -- Structured Data -- Search -- Structured Data Mining Paradigms -- A Comparison -- What's in a Name? -- Multi-Relational Data -- Structured Data in Relational Form -- Multi-Relational Data Models -- Structure of the Data Model -- Tables and their Roles -- Directions -- Multi-Relational Patterns -- Local Structure -- Pattern language -- Refinements -- Pattern Complexity -- Characteristics of Multi-Relational Patterns -- Numeric Data -- Discretisation -- Multi-Relational Rule Discovery -- Rule Discovery -- Implementation -- Experiments -- Related Work -- Multi-Relational Decision Tree Induction -- Extended Selection Graphs -- Refinements -- Multi-Relational Decision Trees -- Look-Ahead -- Two Instances -- MRDTL -- Mr-SMOTI -- Aggregate Functions -- Aggregate Functions -- Aggregation -- Aggregate Functions & Association-width -- Aggregate Functions & Propositionalisation -- Propositionalisation -- The RollUp Algorithm -- Experiments -- Musk -- Mutagenesis -- Financial -- Discussion -- Aggregate functions -- Propositionalisation -- Related Work -- Aggregate Functions & Rule Discovery -- Generalised Selection Graphs -- Refinement Operator -- Experiments -- Mutagenesis -- Financial -- MRDM Primitives -- An MRDM Architecture -- Data Mining Primitives -- Selection Graphs -- Association Refinement -- Nominal Condition Refinement -- Numeric Condition Refinement -- Extended Selection Graphs -- Generalised Selection Graphs -- Association Refinement -- Nominal Condition Refinement -- Numeric Condition Refinement -- AggregateCrossTable -- MRDM in Action -- An MRDM Project Blueprint -- An MRDM Project -- Data Understanding -- Data Preparation.

An MRDM Pre-processing Consultant -- Transformation Rules -- Denormalise -- Normalise -- Reverse Pivot -- Aggregate -- Select Attributes -- Select tables -- Create Indexes -- Conclusion -- Contributions -- Validity of MRDM Approach -- Overview of Algorithms -- Conclusion -- Pattern Languages -- Improved Search -- Appendix A: MRML -- Bibliography -- Index.
Abstract:
With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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