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Data Mining and Knowledge Discovery Via Logic-Based Methods
Evangelos Triantaphyllou
€ 181.68
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Description for Data Mining and Knowledge Discovery Via Logic-Based Methods
Paperback. This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications. Series: Springer Optimization and its Applications. Num Pages: 384 pages, 82 black & white illustrations, 9 colour illustrations, 59 black & white tables, biograph. BIC Classification: KJT; UYA. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 587.
The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned ... Read more
The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
384
Condition
New
Series
Springer Optimization and its Applications
Number of Pages
350
Place of Publication
New York, NY, United States
ISBN
9781461426134
SKU
V9781461426134
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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