Biologically Inspired Techniques For Knowledge Discovery And Data Mining

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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Author : Alam, Shafiq
Publisher : IGI Global
ISBN 13 : 1466660791
Total Pages : 397 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Biologically-Inspired Techniques for Knowledge Discovery and Data Mining by : Alam, Shafiq

Download or read book Biologically-Inspired Techniques for Knowledge Discovery and Data Mining written by Alam, Shafiq and published by IGI Global. This book was released on 2014-05-31 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Shafiq Alam
Publisher :
ISBN 13 : 9781466660816
Total Pages : pages
Book Rating : 4.6/5 (68 download)

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Book Synopsis Biologically-inspired Techniques for Knowledge Discovery and Data Mining by : Shafiq Alam

Download or read book Biologically-inspired Techniques for Knowledge Discovery and Data Mining written by Shafiq Alam and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--

Trends and Applications in Knowledge Discovery and Data Mining

Author : Mohadeseh Ganji
Publisher : Springer
ISBN 13 : 303004503X
Total Pages : 370 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Mohadeseh Ganji

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Mohadeseh Ganji and published by Springer. This book was released on 2018-12-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2018, held in conjunction with the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, in Melbourne, Australia, in June 2018. The 32 revised papers presented were carefully reviewed and selected from 46 submissions. The workshops affiliated with PAKDD 2018 include: Workshop on Big Data Analytics for Social Computing, BDASC, Australasian Workshop on Machine Learning for Cyber-security, ML4Cyber, Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining, BDM, Pacific Asia Workshop on Intelligence and Security Informatics, PAISI, and Workshop on Data Mining for Energy Modeling and Optimization, DaMEMO.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Jiuyong Li
Publisher : Springer
ISBN 13 : 3642403190
Total Pages : 571 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Jiuyong Li

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Jiuyong Li and published by Springer. This book was released on 2013-08-23 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).

Trends and Applications in Knowledge Discovery and Data Mining

Author : Wei Lu
Publisher : Springer Nature
ISBN 13 : 3030604705
Total Pages : 193 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Wei Lu

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Wei Lu and published by Springer Nature. This book was released on 2020-10-14 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, Singapore, in May 2020. The 17 revised full papers presented were carefully reviewed and selected from a total of 50 submissions. The five workshops were as follows: · First International Workshop on Literature-Based Discovery (LBD 2020) · Workshop on Data Science for Fake News (DSFN 2020) · Learning Data Representation for Clustering (LDRC 2020) · Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM · 2020) · First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)

Trends and Applications in Knowledge Discovery and Data Mining

Author : U Kang
Publisher : Springer
ISBN 13 : 3319672746
Total Pages : 203 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : U Kang

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by U Kang and published by Springer. This book was released on 2017-10-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Trends and Applications in Knowledge Discovery and Data Mining

Author : Huiping Cao
Publisher : Springer
ISBN 13 : 3319429965
Total Pages : 288 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Huiping Cao

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Huiping Cao and published by Springer. This book was released on 2016-07-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Leong Hou U.
Publisher : Springer Nature
ISBN 13 : 3030261425
Total Pages : 366 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Leong Hou U.

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Leong Hou U. and published by Springer Nature. This book was released on 2019-09-11 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer

Biologically Inspired Techniques in Many Criteria Decision Making

Author : Satchidananda Dehuri
Publisher : Springer Nature
ISBN 13 : 9811687390
Total Pages : 718 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Biologically Inspired Techniques in Many Criteria Decision Making by : Satchidananda Dehuri

Download or read book Biologically Inspired Techniques in Many Criteria Decision Making written by Satchidananda Dehuri and published by Springer Nature. This book was released on 2022-06-03 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Leong Hou U.
Publisher :
ISBN 13 : 9783030261436
Total Pages : 366 pages
Book Rating : 4.2/5 (614 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Leong Hou U.

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Leong Hou U. and published by . This book was released on 2019 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer. --

Trends and Applications in Knowledge Discovery and Data Mining

Author : Wen-Chih Peng
Publisher : Springer
ISBN 13 : 9783319131856
Total Pages : 0 pages
Book Rating : 4.1/5 (318 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Wen-Chih Peng

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Wen-Chih Peng and published by Springer. This book was released on 2014-12-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings at PAKDD Workshops 2014, held in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial; Big Data Science and Engineering on E-Commerce, BigEC; Cloud Service Discovery, CloudSD; Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI; Scalable Dats Analytics: Theory and Algorithms, SDA; Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP; Data Mining in Social Networks, SocNet; Data Mining in Biomedical Informatics and Healthcare, DMBIH; and Pattern Mining and Application of Big Data, BigPMA.

Biologically Inspired Techniques in Many-Criteria Decision Making

Author : Satchidananda Dehuri
Publisher : Springer Nature
ISBN 13 : 3030390330
Total Pages : 268 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Biologically Inspired Techniques in Many-Criteria Decision Making by : Satchidananda Dehuri

Download or read book Biologically Inspired Techniques in Many-Criteria Decision Making written by Satchidananda Dehuri and published by Springer Nature. This book was released on 2020-01-21 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

Biological Data Mining

Author : Jake Y. Chen
Publisher : CRC Press
ISBN 13 : 1420086855
Total Pages : 736 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Biological Data Mining by : Jake Y. Chen

Download or read book Biological Data Mining written by Jake Y. Chen and published by CRC Press. This book was released on 2009-09-01 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Biological Knowledge Discovery Handbook

Author : Mourad Elloumi
Publisher : John Wiley & Sons
ISBN 13 : 1118853725
Total Pages : 1192 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Biological Knowledge Discovery Handbook by : Mourad Elloumi

Download or read book Biological Knowledge Discovery Handbook written by Mourad Elloumi and published by John Wiley & Sons. This book was released on 2015-02-04 with total page 1192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.

Improving Knowledge Discovery through the Integration of Data Mining Techniques

Author : Usman, Muhammad
Publisher : IGI Global
ISBN 13 : 146668514X
Total Pages : 392 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Improving Knowledge Discovery through the Integration of Data Mining Techniques by : Usman, Muhammad

Download or read book Improving Knowledge Discovery through the Integration of Data Mining Techniques written by Usman, Muhammad and published by IGI Global. This book was released on 2015-08-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 others 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.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Author : Simon James Fong
Publisher : Springer Nature
ISBN 13 : 981156695X
Total Pages : 228 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing by : Simon James Fong

Download or read book Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing written by Simon James Fong and published by Springer Nature. This book was released on 2020-08-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.

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

Author : Kumar, A.V. Senthil
Publisher : IGI Global
ISBN 13 : 160960069X
Total Pages : 414 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains by : Kumar, A.V. Senthil

Download or read book Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains written by Kumar, A.V. Senthil and published by IGI Global. This book was released on 2010-08-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.