Learn IT - Books tags mining

Rough Granular Computing in Knowledge Discovery and Data Mining (Studies in Computational Intelligence)

Springer, 2008

The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data mining (KDD). In the book, the KDD...

Data Mining and Machine Learning in Cybersecurity

Auerbach Publications, 2011

In the emerging era of Web 3.0, securing cyberspace has gradually evolved into a critical organizational and national research agenda inviting interest from a multidisciplinary scientific workforce. There are many avenues into this area, and, in recent research, machine-learning and data-mining techniques have been applied to design,...

Aspects of Automatic Text Analysis (Studies in Fuzziness and Soft Computing)

Springer, 2006

The significance of natural language texts as the prime information structure for the management and dissemination of knowledge is - as the rise of the web shows - still increasing. Making relevant texts available in different contexts is of primary importance for efficient task completion in academic and industrial settings. Meeting this demand...

Data Mining on Multimedia Data (Lecture Notes in Computer Science)

Springer, 2003

The increasing use of computer technology in many areas of economic, scientific, and social life is resulting in large collections of digital data. The amount of data which is created on and stored in computers is growing from day to day. Electronic database facilities are common everywhere and can now be considered a standard technology....

Introduction to Electrical Circuit Analysis

John Wiley & Sons, 2017

A concise and original presentation of the fundamentals for ‘new to the subject’ electrical engineers

This book has been written for students on electrical engineering courses who don’t necessarily possess prior knowledge of electrical circuits. Based on the author’s own teaching experience, it...

Principles of Data Mining (Adaptive Computation and Machine Learning)

MIT Press, 2001

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...

Domain Driven Data Mining

Springer, 2010

In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and...

Post-mining of Association Rules: Techniques for Effective Knowledge Extraction

Information Science Publishing, 2009

Since its introduction for market basket analysis in the early 1990s, association rule mining has had a lot of research attention, and it is now widely used in many fields, for example in retail, telecom, insurance, and bioinformatics applications.

One familiar problem encountered in association mining exercises is that they...

Data Mining Methods and Models

John Wiley & Sons, 2006

Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results

Data Mining Methods and Models provides:

The latest techniques for uncovering hidden nuggets of information

The insight into how the data mining algorithms actually work

The hands-on experience of...

Inductive Logic Programming: 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007

Springer, 2008

This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Conference on Inductive Logic Programming, ILP 2007, held in Corvallis, OR, USA, in June 2007 in conjunction with ICML 2007, the International Conference on Machine Learning.

The 15 revised full papers and 11 revised short papers presented...

Satellite Image Analysis: Clustering and Classification (SpringerBriefs in Applied Sciences and Technology)

Springer, 2019

Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision...

Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)

Springer, 2006

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament.

Batini and...

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