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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

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Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path to becoming a data mining professional. This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built. This is the first step in a journey to data mining and analytics. The book encourages the concept of programming by example and programming with data - more than just pushing data through tools, but learning to live and breathe the data, and sharing the experience so others can copy and build on what has gone before. It is accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics. Details of some of the more popular algorithms for data mining are very simply and, more importantly, clearly explained. Technology for transforming a database through data mining and machine learning into knowledge is now readily accessible.
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Java in the Small
Java in the Small
We have called this unit 'Java in the small' after atermcoined by DeRemer and Kron in a 1976 paper.This refers to the programming of the internal parts of programs, in particular the contentsofmethods. The previous unit introduced the idea of objectscommunicating through the invocation of methods on objects. In this unit you will...
Performing Data Analysis Using IBM SPSS
Performing Data Analysis Using IBM SPSS

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®
 

Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,...

Learning Python Design Patterns - Second Edition
Learning Python Design Patterns - Second Edition

Key Features

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Pre-Algebra, Student Edition (MERRILL PRE-ALGEBRA)
Pre-Algebra, Student Edition (MERRILL PRE-ALGEBRA)

Glencoe Pre-Algebra is a key program in our vertically aligned high school mathematics series developed to help all students achieve a better understanding of mathematics and improve their mathematics scores on today’s high-stakes assessments. Help all students become better problem solvers with our unique approach to interweaving...

Data Mining Using Grammar Based Genetic Programming and Applications
Data Mining Using Grammar Based Genetic Programming and Applications

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining,...

Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications
Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications
One of the main problems in chip design is the enormous number of possible combinations of individual chip elements within a system, and the problem of their compatibility. The recent application of data structures, efficient algorithms, and ordered binary decision diagrams (OBDDs) has proven vital in designing the computer chips of tomorrow....
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