Data Mining Algorithms by Pawel Cichosz

 

Publisher:    Wiley
By:    Pawel Cichosz
ISBN:    978-1-118-33258-0
Year:    2015
Pages:    720
Language:    English
File size:    8.5 MB
File format:    PDF

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. 

 

The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.

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Data Structures and Algorithms with JavaScript by Michael McMillan

As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment.

Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program.

 

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Algorithms and Data Structures by Robert Sedgewick, Kevin Wayne

The latest version of Sedgewick's best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.

Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know.

 

New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.

Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books.

 

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Data Structures and Algorithms by Michael T. Goodrich

Based on the authors' market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. 

Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

 

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Data Structures and Algorithm Analysis 3rd Edition

 

Suppose you have a group of n numbers and would like to determine the kth largest. This is known as the selection problem. Most students who have had a programming course or two would have no difficulty writing a program to solve this problem. There are quite a few "obvious" solutions. 

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Algorithms , Data Structures ,

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