Efficient Techniques for Decision Support

Amit Rudra

ISBN 10: 3639517547 / ISBN 13: 9783639517545

Verlag: Scholars' Press Sep 2013, 2013

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -Modern techniques of capturing data have thrown, besides storage, another couple of challenges to the computer scientists, viz. its quick retrieval and efficient processing. Getting the information quickly in today¿s ever-increasing data deluge is a key priority for the decision maker. This text examines and describes some new structures and techniques in this area. The purpose of this research is to investigate efficient techniques including data structures, algorithms and their implementations for decision support applications in data warehousing and data mining. The specific techniques proposed include a new efficient indexing structure for approximate query processing, a parallel algorithm for mining frequent patterns, and the mining of value-based itemsets by finding optimal solutions under resource constraints. The effectiveness of each technique has been evaluated using typical test data sets. Written both for computing and information systems researchers, this text is aimed at advanced researchers, particularly, in the area of data warehousing and data mining and, in general, for the database professionals who are keen to know about efficient data organisation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.

Bestandsnummer des Verkäufers 9783639517545

Bibliografische Details

• Titel: Efficient Techniques for Decision Support
• Verlag: Scholars' Press Sep 2013
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 3639517547
• ISBN-13: 9783639517545
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 220B x 150 H x 11 T Millimeter Breite: 220 mm, Höhe: 150 mm, Tiefe: 11 mm
• Gewicht: 274 Gramm

Über diesen Titel

Inhaltsangabe

Modern techniques of capturing data have thrown, besides storage, another couple of challenges to the computer scientists, viz. its quick retrieval and efficient processing. Getting the information quickly in today’s ever-increasing data deluge is a key priority for the decision maker. This text examines and describes some new structures and techniques in this area. The purpose of this research is to investigate efficient techniques including data structures, algorithms and their implementations for decision support applications in data warehousing and data mining. The specific techniques proposed include a new efficient indexing structure for approximate query processing, a parallel algorithm for mining frequent patterns, and the mining of value-based itemsets by finding optimal solutions under resource constraints. The effectiveness of each technique has been evaluated using typical test data sets. Written both for computing and information systems researchers, this text is aimed at advanced researchers, particularly, in the area of data warehousing and data mining and, in general, for the database professionals who are keen to know about efficient data organisation.