Download the fantastic book titled Data Mining and Knowledge Discovery via Logic Based Methods written by Evangelos Triantaphyllou, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Mining and Knowledge Discovery via Logic Based Methods", which was released on 08 June 2010. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Data Mining and Knowledge Discovery via Logic Based Methods by Evangelos Triantaphyllou PDF
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.
Detail About Data Mining and Knowledge Discovery via Logic Based Methods PDF
- Author : Evangelos Triantaphyllou
- Publisher : Springer Science & Business Media
- Genre : Computers
- Total Pages : 371 pages
- ISBN : 144191630X
- Release Date : 08 June 2010
- PDF File Size : 27,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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