menu
{ "item_title" : "Managing and Mining Uncertain Data", "item_author" : [" Charu C. Aggarwal "], "item_description" : "Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/38/709/689/0387096892_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Managing and Mining Uncertain Data|Charu C. Aggarwal

Managing and Mining Uncertain Data

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.

This item is Non-Returnable

Details

  • ISBN-13: 9780387096896
  • ISBN-10: 0387096892
  • Publisher: Springer
  • Publish Date: February 2009
  • Dimensions: 9.3 x 6 x 1.1 inches
  • Shipping Weight: 1.85 pounds
  • Page Count: 494

Related Categories

You May Also Like...

    1

BAM Customer Reviews