Contrast Data Mining

Author: Guozhu Dong
Publisher: CRC Press
ISBN: 1439854335
Size: 57.18 MB
Format: PDF, Docs
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The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains.

Advances In Data Mining Medical Applications E Commerce Marketing And Theoretical Aspects

Author: Petra Perner
Publisher: Springer Science & Business Media
ISBN: 3540707174
Size: 62.71 MB
Format: PDF, ePub, Docs
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We propose a general approach for frequency based string mining, which has
many applications, e.g. in contrast data mining. Our contribution is a novel
algorithm based on a deferred data structure. Despite its simplicity, our approach
is up to 4 times faster and uses about half the memory compared to the best-
known algorithm of Fischer et al. Applications in various string domains, e.g.
natural language, DNA or protein sequences, demonstrate the improvement of
our algorithm.

Learning Data Mining With R

Author: Bater Makhabel
Publisher: Packt Publishing Ltd
ISBN: 178398211X
Size: 47.14 MB
Format: PDF, Mobi
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... is data preprocessing and data quality? • Download R and install R on your
machine. • Compare and contrast data mining and machine learning. Summary
In this chapter, we looked at the following topics: [34] Warming Up Visualization
with R Time for action.

Quality Measures In Data Mining

Author: Fabrice Guillet
Publisher: Springer Science & Business Media
ISBN: 3540449116
Size: 25.47 MB
Format: PDF, ePub
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In this chapter, we compare two contrast set mining methodologies that rely on
different statistical philosophies: the well-known STUCCO approach and CIGAR,
our proposed alternative approach. Following a brief introduction to general
issues and problems related to statistical hypothesis testing in data mining, we
survey and discuss the statistical measures underlying the two methods using an
informal tutorial approach. Experimental results show that both methodologies
are ...

Advances In Knowledge Discovery And Data Mining

Author: Jian Pei
Publisher: Springer
ISBN: 3642374530
Size: 78.27 MB
Format: PDF, ePub
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The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013.

Statistical And Machine Learning Data Mining

Author: Bruce Ratner
Publisher: CRC Press
ISBN: 1466551216
Size: 43.63 MB
Format: PDF, ePub
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This book contains essays offering detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data.

Knowledge Discovery And Data Mining

Author: Honghua Tan
Publisher: Springer Science & Business Media
ISBN: 364227708X
Size: 32.38 MB
Format: PDF, Mobi
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This paper proposes a new denoising diffusion model for fluorescence
microscopic images, in which fourth-order partial differential equations (PDEs)
and contrast enhancement are utilized to overcome the blocky effect and false
edges usually caused by second-order PDEs. Experimental results show that the
proposed method not only makes the denoised images subjectively natural and
clear, but also achieves better performance in terms of objective criterion such as
peak signal to ...

Soft Computing For Knowledge Discovery And Data Mining

Author: Oded Maimon
Publisher: Springer Science & Business Media
ISBN: 038769935X
Size: 80.77 MB
Format: PDF, Mobi
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Oded Maimon, Lior Rokach. A Review of Evolutionary Algorithms for Data Mining
Alex A. Freitas University of Kent, UK, Computing Laboratory, ... The motivation
for applying EAs to data mining is that they are robust, adaptive search
techniques that perform a global search in the solution space. This chapter first
presents a brief ... In contrast, several more conventional data mining methods
perform a local, greedy search in the space of candidate solutions. As a result of
their global ...

Data Mining

Author: Krzysztof J. Cios
Publisher: Springer Science & Business Media
ISBN: 0387367950
Size: 42.80 MB
Format: PDF, Kindle
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In the previous Chapters, we focused on data mining methods for analysis and
extraction of useful knowledge from structured data such as flat file, relational,
transactional, and data warehouse data. In contrast, in this Chapter we are
concerned with the analysis of text databases that consist of mainly
semistructured or unstructured data. Text databases usually consist of collections
of articles, research papers, e-mails, blogs, discussion forums, and web pages.
With the rapid growth of ...

Fundamentals Of Data Mining In Genomics And Proteomics

Author: Werner Dubitzky
Publisher: Springer Science & Business Media
ISBN: 0387475095
Size: 59.75 MB
Format: PDF
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High- throughput technologies in genomics and proteomics generate myriads of
intricate data, and the analysis of these data presents unprecedented analytical
and computational challenges. On one hand, because of ethical, cost and time
constraints involved in running experiments, most life science studies include a
modest number of cases (i.e., samples), n. Typically, n ranges from several dozen
to several hundred. This is in stark contrast with conventional data mining ...