Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining PDF Author: Alam, Shafiq
Publisher: IGI Global
ISBN: 1466660791
Category : Computers
Languages : en
Pages : 397

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Book Description
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining PDF Author: Alam, Shafiq
Publisher: IGI Global
ISBN: 1466660791
Category : Computers
Languages : en
Pages : 397

Get Book Here

Book Description
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Biologically-inspired Techniques for Knowledge Discovery and Data Mining

Biologically-inspired Techniques for Knowledge Discovery and Data Mining PDF Author: Shafiq Alam
Publisher:
ISBN: 9781466660816
Category : Biologically-inspired computing
Languages : en
Pages :

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Book Description
"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--

Biological Data Mining

Biological Data Mining PDF Author: Jake Y. Chen
Publisher: CRC Press
ISBN: 1420086855
Category : Computers
Languages : en
Pages : 736

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Book Description
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

Nature-Inspired Computation in Data Mining and Machine Learning

Nature-Inspired Computation in Data Mining and Machine Learning PDF Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 3030285537
Category : Technology & Engineering
Languages : en
Pages : 282

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Book Description
This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Improving Knowledge Discovery through the Integration of Data Mining Techniques

Improving Knowledge Discovery through the Integration of Data Mining Techniques PDF Author: Usman, Muhammad
Publisher: IGI Global
ISBN: 146668514X
Category : Computers
Languages : en
Pages : 418

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Book Description
Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 152251760X
Category : Computers
Languages : en
Pages : 3095

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Book Description
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Business Intelligence: Concepts, Methodologies, Tools, and Applications

Business Intelligence: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1466695633
Category : Computers
Languages : en
Pages : 2326

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Book Description
Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries.

Formalized Probability Theory and Applications Using Theorem Proving

Formalized Probability Theory and Applications Using Theorem Proving PDF Author: Hasan, Osman
Publisher: IGI Global
ISBN: 1466683163
Category : Mathematics
Languages : en
Pages : 310

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Book Description
Scientists and engineers often have to deal with systems that exhibit random or unpredictable elements and must effectively evaluate probabilities in each situation. Computer simulations, while the traditional tool used to solve such problems, are limited in the scale and complexity of the problems they can solve. Formalized Probability Theory and Applications Using Theorem Proving discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. Combining practical application with theoretical discussion, this book is an important reference tool for mathematicians, scientists, engineers, and researchers in all STEM fields.

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining PDF Author: Jian Pei
Publisher: Springer
ISBN: 3642374565
Category : Computers
Languages : en
Pages : 608

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Book Description
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. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Advanced Techniques in Knowledge Discovery and Data Mining

Advanced Techniques in Knowledge Discovery and Data Mining PDF Author: Nikhil Pal
Publisher: Springer Science & Business Media
ISBN: 1846281830
Category : Computers
Languages : en
Pages : 264

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Book Description
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.