Uncovering Hidden Associations Through Negative Itemsets Correlations

Uncovering Hidden Associations Through Negative Itemsets Correlations

Ioannis N. Kouris (University of Patras, Greece), Christos H. Makris (University of Patras, Greece) and Athanasios K. Tsakalidis (University of Patras, Greece)
Copyright: © 2007 |Pages: 28
DOI: 10.4018/978-1-59904-120-9.ch001
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Abstract

Most algorithms and approaches dealing with data mining in general and especially those focusing on the task of association rule mining have assumed all items to be only positively correlated, and looked only into the items that remained finally in a shopping basket. Very few works have proposed the existence of negative correlations between items, based though on the absence of items from transactions rather than on their actual removals. In this specific chapter we look into mining that takes into consideration valuable information from rejected items and propose various alternatives for taking the specific items into account efficiently. Finally we provide experimental evidence on the existence and significance of these items.

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Table of Contents
Acknowledgments
Zongmin Ma
Chapter 1
Ioannis N. Kouris, Christos H. Makris, Athanasios K. Tsakalidis
Most algorithms and approaches dealing with data mining in general and especially those focusing on the task of association rule mining have assumed... Sample PDF
Uncovering Hidden Associations Through Negative Itemsets Correlations
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Chapter 2
Faxin Zhao, Yubin Bao, Huanliang Sun, Ge Yu
In data mining fields, outlier detection is an important research issue. The number of cells in the cell-based disk algorithm increases... Sample PDF
A Disk-Based Algorithm for Fast Outlier Detection in Large Datasets
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Chapter 3
Tzung-Pei Hong, Ching-Yao Wang
Developing an efficient mining algorithm that can incrementally maintain discovered information as a database grows is quite important in the field... Sample PDF
Maintenance of Association Rules Using Pre-Large Itemsets
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Chapter 4
Rosa Meo, Giuseppe Psaila
Inductive databases have been proposed as general purpose databases to support the KDD process. Unfortunately, the heterogeneity of the discovered... Sample PDF
An XML-Based Database for Knowledge Discovery: Definition and Implementation
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Chapter 5
Marcus Costa Sampaio, Cláudio de Souza Baptita, André Gomes de Sousa, Fabiana Ferreira do Nascimento
This chapter introduces spatial dimensions and measures as a means of enhancing decision support systems with spatial capabilities. By some way or... Sample PDF
Enhancing Decision Support Systems with Spatial Capabilities
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Chapter 6
S.A. Oke
This work demonstrates the application of decision tree, a data mining tool, in the manufacturing system. Data mining has the capability for... Sample PDF
Application of Decision Tree as a Data mining Tool in a Manufacturing System
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Chapter 7
Gian Piero Zarri
In this chapter, we evoke first the ubiquity and the importance of the so-called ‘narrative’ information, showing that the usual ontological tools... Sample PDF
An Implemented Representation and Reasoning Systems for Creating and Exploiting Large Knowledge Bases of Narrative Information
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Chapter 8
Z. M. Ma
Fuzzy set theory has been extensively applied to extend various data models and resulted in numerous contributions, mainly with respect to the... Sample PDF
A Literature Overview of Fuzzy Database Modeling
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Chapter 9
J. Gerard Wolff
This chapter describes some of the kinds of “intelligence” that may be exhibited by an intelligent database system based on the SP theory of... Sample PDF
Aspects of Intelligence in an "SP" Database System
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Chapter 10
Davide Martinenghi, Henning Christiansen, Hendrik Decker
Integrity constraints are a key tool for characterizing the well-formedness and semantics of the information contained in databases. In this regard... Sample PDF
Integrity Checking and Maintenance in Relational and Deductive Database and Beyond
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Chapter 11
Hassina Bounif
Information systems, including their core databases need to meet changing user requirements and adhere to evolving business strategies. Traditional... Sample PDF
Predicitive Approach for Database Schema Evolution
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