Adhikari A., Adhikari J. Advances in Knowledge Discovery in Databases

Springer, 2015. — 370 p. — (Intelligent Systems Reference Library 79). — ISBN: 9783319132112, 9783319132129This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.Synthesizing Conditional Patterns in a Database
Synthesizing Arbitrary Boolean Expressions Induced by Frequent Itemsets
Measuring Association Among Items in a Database
Mining Association Rules Induced by Item and Quantity Purchased
Mining Patterns in Different Related Databases
Mining Icebergs in Different Time-Stamped Data Sources
Synthesizing Exceptional Patterns in Different Data Sources
Clustering Items in Time-Stamped Databases
Synthesizing Some Extreme Association Rules from Multiple Databases
Clustering Local Frequency Items in Multiple Data Sources
Mining Patterns of Select Items in Different Data Sources
Mining Calendar-Based Periodic Patterns in Time-Stamped Data
Measuring Influence of an Item in Time-Stamped Databases
Clustering Multiple Databases Induced by Local Patterns
Enhancing Quality of Patterns in Multiple Related Databases
Concluding Remarks