High Utility Pattern Mining

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High-Utility Pattern Mining

Philippe Fournier-Viger,Jerry Chun-Wei Lin,Roger Nkambou,Bay Vo,Vincent S. Tseng
High Utility Pattern Mining Book PDF

Author : Philippe Fournier-Viger,Jerry Chun-Wei Lin,Roger Nkambou,Bay Vo,Vincent S. Tseng
Publisher : Springer
Page : 337 pages
File Size : 52,8 Mb
Release : 2019-01-18
Category : Technology & Engineering
ISBN : 9783030049218

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High-Utility Pattern Mining by Philippe Fournier-Viger,Jerry Chun-Wei Lin,Roger Nkambou,Bay Vo,Vincent S. Tseng Pdf

This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.

Periodic Pattern Mining

R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal
Periodic Pattern Mining Book PDF

Author : R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal
Publisher : Springer Nature
Page : 263 pages
File Size : 47,6 Mb
Release : 2021-10-29
Category : Computers
ISBN : 9789811639647

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Periodic Pattern Mining by R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal Pdf

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed. The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques. The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.

Frequent Pattern Mining

Charu C. Aggarwal,Jiawei Han
Frequent Pattern Mining Book PDF

Author : Charu C. Aggarwal,Jiawei Han
Publisher : Springer
Page : 480 pages
File Size : 49,8 Mb
Release : 2014-08-29
Category : Computers
ISBN : 9783319078212

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Frequent Pattern Mining by Charu C. Aggarwal,Jiawei Han Pdf

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.

Advances in Knowledge Discovery and Data Mining

Thanaruk Theeramunkong,Boonserm Kijsirikul,Nick Cercone,Tu-Bao Ho
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Thanaruk Theeramunkong,Boonserm Kijsirikul,Nick Cercone,Tu-Bao Ho
Publisher : Springer Science & Business Media
Page : 1098 pages
File Size : 44,6 Mb
Release : 2009-04-20
Category : Computers
ISBN : 9783642013065

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Advances in Knowledge Discovery and Data Mining by Thanaruk Theeramunkong,Boonserm Kijsirikul,Nick Cercone,Tu-Bao Ho Pdf

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Preference-based Spatial Co-location Pattern Mining

Lizhen Wang,Yuan Fang,Lihua Zhou
Preference based Spatial Co location Pattern Mining Book PDF

Author : Lizhen Wang,Yuan Fang,Lihua Zhou
Publisher : Springer Nature
Page : 307 pages
File Size : 44,7 Mb
Release : 2022-01-04
Category : Computers
ISBN : 9789811675669

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Preference-based Spatial Co-location Pattern Mining by Lizhen Wang,Yuan Fang,Lihua Zhou Pdf

The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field. Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors’ recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns. Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.

Advanced Data Mining and Applications

Bohan Li,Lin Yue,Jing Jiang,Weitong Chen,Xue Li,Guodong Long,Fei Fang,Han Yu
Advanced Data Mining and Applications Book PDF

Author : Bohan Li,Lin Yue,Jing Jiang,Weitong Chen,Xue Li,Guodong Long,Fei Fang,Han Yu
Publisher : Springer Nature
Page : 430 pages
File Size : 49,6 Mb
Release : 2022-01-31
Category : Computers
ISBN : 9783030954086

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Advanced Data Mining and Applications by Bohan Li,Lin Yue,Jing Jiang,Weitong Chen,Xue Li,Guodong Long,Fei Fang,Han Yu Pdf

This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.* The 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part II named: Pattern mining; Graph mining; Text mining; Multimedia and time series data mining; and Classification, clustering and recommendation. * The conference was originally planned for December 2021, but was postponed to 2022.

Second International Conference on Computer Networks and Communication Technologies

S. Smys,Tomonobu Senjyu,Pavel Lafata
Second International Conference on Computer Networks and Communication Technologies Book PDF

Author : S. Smys,Tomonobu Senjyu,Pavel Lafata
Publisher : Springer Nature
Page : 968 pages
File Size : 40,6 Mb
Release : 2020-01-21
Category : Technology & Engineering
ISBN : 9783030370510

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Second International Conference on Computer Networks and Communication Technologies by S. Smys,Tomonobu Senjyu,Pavel Lafata Pdf

This book presents new communication and networking technologies, an area that has gained significant research attention from both academia and industry in recent years. It also discusses the development of more intelligent and efficient communication technologies, which are an essential part of current day-to-day life, and reports on recent innovations in technologies, architectures, and standards relating to these technologies. The book includes research that spans a wide range of communication and networking technologies, including wireless sensor networks, big data, Internet of Things, optical and telecommunication networks, artificial intelligence, cryptography, next-generation networks, cloud computing, and natural language processing. Moreover, it focuses on novel solutions in the context of communication and networking challenges, such as optimization algorithms, network interoperability, scalable network clustering, multicasting and fault-tolerant techniques, network authentication mechanisms, and predictive analytics.

Computational Intelligence in Data Mining - Volume 3

Lakhmi C. Jain,Himansu Sekhar Behera,Jyotsna Kumar Mandal,Durga Prasad Mohapatra
Computational Intelligence in Data Mining Volume 3 Book PDF

Author : Lakhmi C. Jain,Himansu Sekhar Behera,Jyotsna Kumar Mandal,Durga Prasad Mohapatra
Publisher : Springer
Page : 717 pages
File Size : 50,6 Mb
Release : 2014-12-11
Category : Technology & Engineering
ISBN : 9788132222026

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Computational Intelligence in Data Mining - Volume 3 by Lakhmi C. Jain,Himansu Sekhar Behera,Jyotsna Kumar Mandal,Durga Prasad Mohapatra Pdf

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Next-Gen Technologies in Computational Intelligence

R. Anandan,M. Senthil Kumar,Biji C. L.,Vicente García Díaz,Souvik Pal
Next Gen Technologies in Computational Intelligence Book PDF

Author : R. Anandan,M. Senthil Kumar,Biji C. L.,Vicente García Díaz,Souvik Pal
Publisher : CRC Press
Page : 566 pages
File Size : 48,5 Mb
Release : 2024-06-07
Category : Computers
ISBN : 9781040045909

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Next-Gen Technologies in Computational Intelligence by R. Anandan,M. Senthil Kumar,Biji C. L.,Vicente García Díaz,Souvik Pal Pdf

The Proceeding includes the research contribution from the International Conference on Next-Gen Technologies in Computational Intelligence (NGTCA 2023) held on March 24th 2023 at Vels Institute of Science, Technology and Advanced Studies. NGCTA 2023 is the flagship conference of the Computer Society of India (Region 7). Computer Society of India (CSI) is the largest association of IT professionals in India. CSI is a non-profit organization established in 1965 and its members are committed to the advancement of theory and practice of Computer Engineering and Technology Systems. The Mission of CSI is to facilitate research, knowledge sharing, learning, and career enhancement for all categories of IT professionals, while simultaneously inspiring and nurturing new entrants into the industry and helping them to integrate into the IT community. At present, CSI has 76chapters across India, over 550 student branches with 1,00,000 plus members. It serves its members through technical events, seminars, workshops, conferences, publications & journals, research projects, competitions, special interest groups, awards & recognitions, etc. Various CSI chapters conduct Research Convention every year.

Mining of Massive Datasets

Jure Leskovec,Jurij Leskovec,Anand Rajaraman,Jeffrey David Ullman
Mining of Massive Datasets Book PDF

Author : Jure Leskovec,Jurij Leskovec,Anand Rajaraman,Jeffrey David Ullman
Publisher : Cambridge University Press
Page : 480 pages
File Size : 47,7 Mb
Release : 2014-11-13
Category : Computers
ISBN : 9781107077232

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Mining of Massive Datasets by Jure Leskovec,Jurij Leskovec,Anand Rajaraman,Jeffrey David Ullman Pdf

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Machine Learning and Data Mining in Pattern Recognition Book PDF

Author : Petra Perner
Publisher : Springer
Page : 807 pages
File Size : 40,7 Mb
Release : 2016-06-27
Category : Computers
ISBN : 9783319419206

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Web and Big Data

Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian
Web and Big Data Book PDF

Author : Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian
Publisher : Springer
Page : 662 pages
File Size : 54,8 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319635798

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Web and Big Data by Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian Pdf

This two –volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.

Advanced Data Mining and Applications

Jianxin Li,Sen Wang,Shaowen Qin,Xue Li,Shuliang Wang
Advanced Data Mining and Applications Book PDF

Author : Jianxin Li,Sen Wang,Shaowen Qin,Xue Li,Shuliang Wang
Publisher : Springer Nature
Page : 894 pages
File Size : 40,9 Mb
Release : 2019-11-16
Category : Computers
ISBN : 9783030352318

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Advanced Data Mining and Applications by Jianxin Li,Sen Wang,Shaowen Qin,Xue Li,Shuliang Wang Pdf

This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019. The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical and Healthcare Data/Decision Analytics; and Other Applications.

Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices

Hamido Fujita,Philippe Fournier-Viger,Moonis Ali,Jun Sasaki
Trends in Artificial Intelligence Theory and Applications Artificial Intelligence Practices Book PDF

Author : Hamido Fujita,Philippe Fournier-Viger,Moonis Ali,Jun Sasaki
Publisher : Springer Nature
Page : 931 pages
File Size : 40,8 Mb
Release : 2020-09-04
Category : Computers
ISBN : 9783030557898

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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices by Hamido Fujita,Philippe Fournier-Viger,Moonis Ali,Jun Sasaki Pdf

This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.

Advances in Knowledge Discovery and Data Mining

Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Publisher : Springer Nature
Page : 936 pages
File Size : 46,9 Mb
Release : 2020-05-08
Category : Computers
ISBN : 9783030474362

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Advances in Knowledge Discovery and Data Mining by Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan Pdf

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.