عنوان

Data mining algorithms in C++

(Number (ISBN

9781484233146

Number

E2914

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Data mining algorithms in C++

Other Title Information

data patterns and algorithms for modern applications

First Statement of Responsibility

Timothy Masters

Place of Publication, Distribution, etc.

[Berkeley, CA]

Name of Publisher, Distributor, etc.

Apress

Date of Publication, Distribution, etc.

2018

Specific Material Designation and Extent of Item

xiv, 286 p.

Other Physical Details

ill.

Text of Note

Includes index

Text of Note

1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program

0

Text of Note

Find the various relationships among variables that can be present in big data as well as other data sets. This book also covers information entropy, permutation tests, combinatorics, predictor selections, and eigenvalues to give you a well-rounded view of data mining and algorithms in C++. Furthermore, Data Mining Algorithms in C++ includes classic techniques that are widely available in standard statistical packages, such as maximum likelihood factor analysis and varimax rotation. After reading and using this book, you'll come away with many code samples and routines that can be repurposed into your own data mining tools and algorithms toolbox. This will allow you to integrate these techniques in your various data and analysis projects. You will: Discover useful data mining techniques and algorithms using the C++ programming language Carry out permutation tests Work with the various relationships and screening types for these relationships Master predictor selections Use the DATAMINE program

Entry Element

C++ (Computer program language)

Entry Element

Computer algorithms

Entry Element

Data mining

a03

a05

a05

Class number

Book number

Masters, Timothy

Country

Iran

Agency

University of Tehran. Library of College of Science

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1003171_0001.pdf

e

BL

278840

a

Y