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portada Data Mining: Theories, Algorithms, and Examples (in English)
Type
Physical Book
Author
Publisher
Language
Inglés
Pages
349
Format
Hardcover
Dimensions
23.4 x 16.0 x 2.5 cm
Weight
0.64 kg.
ISBN13
9781439808382
Edition No.
1

Data Mining: Theories, Algorithms, and Examples (in English)

Nong Ye (Author) · CRC Press · Hardcover

Data Mining: Theories, Algorithms, and Examples (in English) - Ye, Nong

Physical Book

$ 179.63

$ 299.38

You save: $ 119.75

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  • Condition: New
Origin: United Kingdom (Import costs included in the price)
It will be shipped from our warehouse between Wednesday, July 31 and Friday, August 09.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Data Mining: Theories, Algorithms, and Examples (in English)"

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures. The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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