Cover von Data mining opens in new tab

Data mining

practical machine learning tools and techniques
0 ratings
Author: Search for this author Witten, Ian H. (creator); Eibe, Frank (creator)
Year: 2005
Publisher: Amsterdam u.a., Elsevier
Series: The Morgan Kaufmann series in data management systems
Media group: Ausleihbestand
Link to extern media content - opens in new tab
available

Copies

BranchLocationsStatusReservationsDue dateBarcodeFloor planLending note
Branch: Hauptstelle Locations: MA-20 525 Status: available Reservations: 0 Due date: Barcode: 00295515 Floor plans: Floor plan Lending note:

Content

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more; algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods; performance improvement techniques that work by transforming the input or output; and, downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization-in a new, interactive interface.

Ratings

0 ratings
0 ratings
0 ratings
0 ratings
0 ratings

Details

Author: Search for this author Witten, Ian H. (creator); Eibe, Frank (creator)
Statement of Responsibility: Ian H. Witten, Eibe Frank
Year: 2005
Publisher: Amsterdam u.a., Elsevier
opens in new tab
Classification: Search for this systematic MA-20
Search for this subject type
ISBN: 9780120884070
ISBN (2nd): 0-12-088407-0
Description: 2nd ed, xxxi, 525 S., Illustrationen, graph. Darst.
Series: The Morgan Kaufmann series in data management systems
Tags: Data mining; Machine learning
Participating parties: Search for this character Witten, Ian H.; Eibe, Frank
Language: Englisch
Original title: Data mining
Media group: Ausleihbestand