Learn IT - Books tags mining

Data Mining: Foundations and Intelligent Paradigms: VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects

Springer, 2011

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of...

Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)

Springer, 2005

Nowadays data accumulate at an alarming speed in various storage devices,
and so does valuable information. However, it is difficult to understand information
hidden in data without the aid of data analysis techniques, which
has provoked extensive interest in developing a field separate from machine
learning. This new field is...

Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002

World Scientific Publishing, 2003

Data mining and data modeling are hot topics and are under fast development. Because of its wide applications and rich research contents, a lot of practitioners and academics are attracted to work on these areas. In the view of promoting the communications and collaborations among the practitioners and researchers in Hong Kong, a two-day...

Handbook of Software Engineering and Knowledge Engineering: Recent Advances

World Scientific Publishing, 2005

The Handbook of Software Engineering and Knowledge Engineering is the first comprehensive handbook covering these two important areas that have become interwoven in recent years. Many international experts contribute to this Hand book. Each article is written in a way that a practitioner of software engineering and knowledge engineering can...

Discrimination and Privacy in the Information Society: Data Mining and Profiling in Large Databases (Studies in Applied Philosophy, Epistemology and Rational Ethics)

Springer, 2012

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that...

Agglomeration in Metallurgy (Topics in Mining, Metallurgy and Materials Engineering)

Springer, 2019

This book gives details on the processes of agglomeration and its role in modern metal production processes. It starts with a chapter on sinter production, also discussing the quality of sinter and environmental aspects involved on the process. The following chapters focus on pellet production and briquetting of natural and anthropogenic raw...

Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics)

John Wiley & Sons, 2007

Wiley Series on Bioinformatics: Computational Techniques and Engineering

Discover how data mining is fueling new discoveries in bioinformatics

As the field of bioinformatics continues to flourish, producing enormous amounts of new data, the need for sophisticated methods of data mining to better manage and extract meaning from...

Turn eBay Data into Dollars

McGraw-Hill, 2005

You already have the answer to boosting your eBay sales and profits...

You just have to know where to look. Turn eBay Data into Dollars shows you how to use the powerful tools available on eBay to sell smarter and make more money on every sale. Learn to mine sales data from tools such as Andale Research Tools, Terapeak, and...

Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes

Apress, 2014

Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and...

Data Mining: A Knowledge Discovery Approach

Springer, 2007

“If you torture the data long enough, Nature will confess,” said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, “long enough” may, in practice, be “too long” in many applications and thus unacceptable. Second,...

New Developments In Parsing Technology (Text, Speech and Language Techology)

Springer, 2004

Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question...

Robust Statistics: Theory and Methods (Probability and Statistics)

John Wiley & Sons, 2006

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...

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