Data mining

Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications.

Focuses on a few of the important clustering algorithms in the context of information retrieval.

In the face of resource depletion, environmental changes, lifestyle changes, demographic and digital adaptation, old ideologies of city building and expensive and complex automobility solutions are in freefall.

This book is dedicated to exploring and explaining time series event detection in databases.

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.

Graphical models are of increasing importance in applied statistics, and in particular in data mining.

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis.

Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them.

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.

This is an applied handbook for the application of data mining techniques in the CRM framework.

Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data.

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data.

A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data.

Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.

The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner.

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc.

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc.

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball.

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball.

For increasingly data-savvy clients, lawyers can no longer give "e;it depends"e; answers rooted in anecdata.

For increasingly data-savvy clients, lawyers can no longer give "e;it depends"e; answers rooted in anecdata.

Health care is under tremendous pressure regarding efficiency, safety, and economic viability.

Health care is under tremendous pressure regarding efficiency, safety, and economic viability.

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts.

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts.

This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.

This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.

Historically, the term quality was used to measure performance in the context of products, processes and systems.

Historically, the term quality was used to measure performance in the context of products, processes and systems.

Manufacturing, like other industries, is rising to the challenges imposed by aggressive consumer demands and the need for cost-effective processing that delivers quality in the fastest possible time.

Manufacturing, like other industries, is rising to the challenges imposed by aggressive consumer demands and the need for cost-effective processing that delivers quality in the fastest possible time.

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "e;interesting"e; - good, bad, and ugly - features that can be found in data, and why it is important to find them.

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "e;interesting"e; - good, bad, and ugly - features that can be found in data, and why it is important to find them.

Enterprise Process Management Systems: Engineering Process-Centric Enterprise Systems using BPMN 2.

Enterprise Process Management Systems: Engineering Process-Centric Enterprise Systems using BPMN 2.

In recent years, machine learning has gained a lot of interest.

In recent years, machine learning has gained a lot of interest.

Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques.

Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques.

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings.

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings.

Military organizations around the world are normally huge producers and consumers of data.

Military organizations around the world are normally huge producers and consumers of data.

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively.

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively.

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements.

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements.