Stock image for illustration purposes only - book cover, edition or condition may vary.
Advanced Data Mining Techniques
Olson, David L.; Delen, Dursun
€ 119.93
FREE Delivery in Ireland
Description for Advanced Data Mining Techniques
Paperback. Covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. This book describes and demonstrates basic data mining algorithms. It contains chapters on a number of different techniques often used in data mining. Num Pages: 180 pages, 21 black & white illustrations, 57 black & white tables, biography. BIC Classification: UNF. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 10. Weight in Grams: 630.
The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve unc- tain description or other complexities that cause difficulty for the conv- tional approaches of logistic regression, neural network models, and de- sion trees. Among these traditional algorithms, neural network models often have a relative advantage when data is complex. We will discuss methods with simple examples, review applications, and evaluate relative advantages of several contemporary methods. Book Concept Our intent is to cover the fundamental concepts of data mining, to dem- strate the potential ... Read more
The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve unc- tain description or other complexities that cause difficulty for the conv- tional approaches of logistic regression, neural network models, and de- sion trees. Among these traditional algorithms, neural network models often have a relative advantage when data is complex. We will discuss methods with simple examples, review applications, and evaluate relative advantages of several contemporary methods. Book Concept Our intent is to cover the fundamental concepts of data mining, to dem- strate the potential ... Read more
Product Details
Format
Paperback
Publication date
2008
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
180
Condition
New
Number of Pages
180
Place of Publication
Berlin, Germany
ISBN
9783540769163
SKU
V9783540769163
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Advanced Data Mining Techniques
From the reviews: "Text analysis and data mining have become increasingly important capabilities in today’s information-flooded world, and choosing the right technique makes all the difference. This book contains some advanced data mining techniques, but also includes an overview of important data mining fundamentals, specifically the CRISP-DM and SEMMA industry standards. … Summing Up: Recommended. ... Read more