Book DescriptionIntroduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary backgrou
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Advances in Data Mining Knowledge Discovery and Applications
This book aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining
Read More »Using R for Data Analysis and Graphics
This book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by comme
Read More »Agile Data: Building Data Analytics Applications
Mining data requires a deep investment in people and time. How can you be sure you're building the right models? What tools help you connect with the customer's needs? With this hands-on book, you'll learn a flexible toolset and methodology for build
Read More »Advances in Statistical Methodologies and Their Application to Real Problems
In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accu
Read More »Theory and Applications for Advanced Text Mining
Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extr
Read More »Introduction to Python for Econometrics, Statistics and Data Analysis
Python is a popular general purpose programming language which is well suited to a wide range of problems. Recent developments have extended Python's range of applicability to econometrics, statistics and general numerical analysis. Python – with t
Read More »Big Data Now: Current Perspectives from O’Reilly Radar
This book represents report recaps the trends, tools, applications, and forecasts. This collection of blog posts, authored by leading thinkers and experts in the field, reflects a unique set of themes we've identified as gaining significant attention
Read More »O’Reilly Disruptive Possibilities: How Big Data Changes Everything
Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enter
Read More »Hadoop Illuminated
This book aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.This book is authors experiment in making Hadoop knowledge available to a wider audience. We want this book to serve as a gentle introduction to
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