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Knowledge Discovery

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Reference Book

Cases on Institutional Research Systems

Hansel Burley (Texas Tech University, USA)

Institutional research (IR) is a growing, applied, and interdisciplinary area that attracts people from a variety of fields, including computer programmers, statisti...

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Reference Book

Semi-Automatic Ontology Development: Processes and Resources

Maria Teresa Pazienza (University of Roma Tor Vergata, Italy), Armando Stellato (University of Roma Tor Vergata, Italy)

The exploitation of theoretical results in knowledge representation, language standardization by W3C and data publication initiatives such as Linked Open Data have g...

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Reference Book

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

A.V. Senthil Kumar (CMS College of Science and Commerce, India)

Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial...

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Reference Book

Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances

Wilson Wong (University of Western Australia, Australia), Wei Liu (University of Western Australia, Australia), Mohammed Bennamoun (The University of Western Australia, Australia)

Ontologies form an indispensable part of the Semantic Web standard stack. While the Semantic Web is still our vision into the future, ontologies have already found a...

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Reference Book

Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications

Tho Manh Nguyen (Institute of Software Technology and Interactive Systems, Vienna University of Technology, Austria)

Recently, researchers have gained innovative principles, methods, algorithms, and solutions to challenging problems faced in the development of data warehousing, kno...

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Reference Book

Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection

Yun Sing Koh (Auckland University of Technology, New Zealand), Nathan Rountree (University of Otago, NZ)

The growing complexity and volume of modern databases make it increasingly important for researchers and practitioners involved with association rule mining to make...

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Reference Book

Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery

Hsiao-Fan Wang (National Tsing Hua University, ROC)

Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is...

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Reference Book

Mathematical Methods for Knowledge Discovery and Data Mining

Giovanni Felici (Consiglio Nazionale delle Richerche, Italy), Carlo Vercellis (Politecnico di Milano, Italy)

The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure.Mathematical Methods for Knowledge Dis...

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Reference Book

Knowledge Discovery and Data Mining: Challenges and Realities

Xingquan Zhu (University of Vermont, USA), Ian Davidson (State University of New York at Albany, USA)

Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challeng...

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Reference Book

Heuristic and Optimization for Knowledge Discovery

Hussein A. Abbass, Charles S. Newton, Ruhul Sarker

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large dat...

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