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Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms,
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9781441916297
- Book Title
- Data Mining and Knowledge Discovery via Logic-Based Methods
- ISBN
- 9781441916297
About this product
Product Information
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 in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.
Product Identifiers
Publisher
Springer-Verlag New York Inc.
ISBN-13
9781441916297
eBay Product ID (ePID)
95815801
Product Key Features
Number of Pages
350 Pages
Publication Name
Data Mining and Knowledge Discovery Via Logic-Based Methods: Theory, Algorithms, and Applications
Language
English
Subject
Computer Science, Mathematics, Management
Publication Year
2010
Type
Textbook
Subject Area
Data Analysis
Format
Hardcover
Dimensions
Item Height
235 mm
Item Weight
806 g
Item Width
155 mm
Volume
43
Additional Product Features
Country/Region of Manufacture
United States
Series Title
Springer Optimization and Its Applications
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Seller business information
VAT number: AU 82107909133, GB 293967539
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- k***6 (206)- Feedback left by buyer.Past monthVerified purchaseGreat thanks
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Seller feedback (1,463,938)
- k***6 (206)- Feedback left by buyer.Past monthVerified purchaseGreat thanks
- n***a (46)- Feedback left by buyer.Past monthVerified purchaseExcellent quality.great delivery time.
- k***k (664)- Feedback left by buyer.Past monthVerified purchaseArrived promptly, well packed and no damage. Thank you