Adaptive Stream Mining

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Adaptive Stream Mining

Albert Bifet
Adaptive Stream Mining Book PDF

Author : Albert Bifet
Publisher : IOS Press
Page : 224 pages
File Size : 52,7 Mb
Release : 2010
Category : Computers
ISBN : 9781607500902

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Adaptive Stream Mining by Albert Bifet Pdf

This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algorithms not initially designed for drifting data. Testing with several methods, including Naïve Bayes, clustering, decision trees and ensemble methods, is discussed as well. The second part of the book describes a formal study of connected acyclic graphs, or 'trees', from the point of view of closure-based mining, presenting efficient algorithms for subtree testing and for mining ordered and unordered frequent closed trees. Lastly, a general methodology to identify closed patterns in a data stream is outlined. This is applied to develop an incremental method, a sliding-window based method, and a method that mines closed trees adaptively from data streams. These are used to introduce classification methods for tree data streams.

Machine Learning for Data Streams

Albert Bifet,Ricard Gavalda,Geoffrey Holmes,Bernhard Pfahringer
Machine Learning for Data Streams Book PDF

Author : Albert Bifet,Ricard Gavalda,Geoffrey Holmes,Bernhard Pfahringer
Publisher : MIT Press
Page : 289 pages
File Size : 49,8 Mb
Release : 2023-05-09
Category : Computers
ISBN : 9780262547833

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Machine Learning for Data Streams by Albert Bifet,Ricard Gavalda,Geoffrey Holmes,Bernhard Pfahringer Pdf

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Advances in Knowledge Discovery and Data Mining

Honghua Dai,Ramakrishnan Srikant,Chengqi Zhang
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Honghua Dai,Ramakrishnan Srikant,Chengqi Zhang
Publisher : Springer Science & Business Media
Page : 731 pages
File Size : 42,7 Mb
Release : 2004-05-11
Category : Business & Economics
ISBN : 9783540220640

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Advances in Knowledge Discovery and Data Mining by Honghua Dai,Ramakrishnan Srikant,Chengqi Zhang Pdf

This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.

Advances in Machine Learning

Zhi-Hua Zhou,Takashi Washio
Advances in Machine Learning Book PDF

Author : Zhi-Hua Zhou,Takashi Washio
Publisher : Springer Science & Business Media
Page : 426 pages
File Size : 54,7 Mb
Release : 2009-10-06
Category : Computers
ISBN : 9783642052231

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Advances in Machine Learning by Zhi-Hua Zhou,Takashi Washio Pdf

The First Asian Conference on Machine Learning (ACML 2009) was held at Nanjing, China during November 2–4, 2009.This was the ?rst edition of a series of annual conferences which aim to provide a leading international forum for researchers in machine learning and related ?elds to share their new ideas and research ?ndings. This year we received 113 submissions from 18 countries and regions in Asia, Australasia, Europe and North America. The submissions went through a r- orous double-blind reviewing process. Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews. Each submission was handled by an Area Chair who coordinated discussions among reviewers and made recommendation on the submission. The Program Committee Chairs examined the reviews and meta-reviews to further guarantee the reliability and integrity of the reviewing process. Twenty-nine - pers were selected after this process. To ensure that important revisions required by reviewers were incorporated into the ?nal accepted papers, and to allow submissions which would have - tential after a careful revision, this year we launched a “revision double-check” process. In short, the above-mentioned 29 papers were conditionally accepted, and the authors were requested to incorporate the “important-and-must”re- sionssummarizedbyareachairsbasedonreviewers’comments.Therevised?nal version and the revision list of each conditionally accepted paper was examined by the Area Chair and Program Committee Chairs. Papers that failed to pass the examination were ?nally rejected.

Stream Data Mining: Algorithms and Their Probabilistic Properties

Leszek Rutkowski,Maciej Jaworski,Piotr Duda
Stream Data Mining Algorithms and Their Probabilistic Properties Book PDF

Author : Leszek Rutkowski,Maciej Jaworski,Piotr Duda
Publisher : Springer
Page : 330 pages
File Size : 53,7 Mb
Release : 2019-03-16
Category : Technology & Engineering
ISBN : 9783030139629

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Stream Data Mining: Algorithms and Their Probabilistic Properties by Leszek Rutkowski,Maciej Jaworski,Piotr Duda Pdf

This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who deal with stream data, e.g. in telecommunication, banking, and sensor networks.

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 : 53,8 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.

New Frontiers in Mining Complex Patterns

Michelangelo Ceci,Corrado Loglisci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras
New Frontiers in Mining Complex Patterns Book PDF

Author : Michelangelo Ceci,Corrado Loglisci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras
Publisher : Springer
Page : 239 pages
File Size : 54,7 Mb
Release : 2016-05-17
Category : Computers
ISBN : 9783319393155

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New Frontiers in Mining Complex Patterns by Michelangelo Ceci,Corrado Loglisci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: data stream mining, classification, mining complex data, and sequences.

Pocket Data Mining

Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes
Pocket Data Mining Book PDF

Author : Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes
Publisher : Springer Science & Business Media
Page : 112 pages
File Size : 55,9 Mb
Release : 2013-10-19
Category : Technology & Engineering
ISBN : 9783319027111

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Pocket Data Mining by Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes Pdf

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Data Mining In Time Series And Streaming Databases

Last Mark,Kandel Abraham,Bunke Horst
Data Mining In Time Series And Streaming Databases Book PDF

Author : Last Mark,Kandel Abraham,Bunke Horst
Publisher : World Scientific
Page : 196 pages
File Size : 46,9 Mb
Release : 2018-01-11
Category : Computers
ISBN : 9789813228054

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Data Mining In Time Series And Streaming Databases by Last Mark,Kandel Abraham,Bunke Horst Pdf

This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic. Contents: Streaming Data Mining with Massive Online Analytics (MOA) (Albert Bifet, Jesse Read, Geoff Holmes and Bernhard Pfahringer)Weightless Neural Modeling for Mining Data Streams (Douglas O Cardoso, João Gama and Felipe França)Ensemble Classifiers for Imbalanced and Evolving Data Streams (Dariusz Brzezinski and Jerzy Stefanowski)Consensus Learning for Sequence Data (Andreas Nienkötter and Xiaoyi Jiang)Clustering-Based Classification of Document Streams with Active Learning (Mark Last, Maxim Stoliar and Menahem Friedman)Supporting the Mining of Big Data by Means of Domain Knowledge During the Pre-mining Phases (Rémon Cornelisse and Sunil Choenni)Data Analytics: Industrial Perspective & Solutions for Streaming Data (Mohsin Munir, Sebastian Baumbach, Ying Gu, Andreas Dengel and Sheraz Ahmed) Readership: Researchers, academics, professionals and graduate students in artificial intelligence, machine learning, databases, and information science. Keywords: Time Series;Data Streams;Big Data;Internet of Things;Concept Drift;Sequence Mining;Episode Mining;Incremental Learning;Active LearningReview:0

Advances in Embedded Computer Vision

Branislav Kisačanin,Margrit Gelautz
Advances in Embedded Computer Vision Book PDF

Author : Branislav Kisačanin,Margrit Gelautz
Publisher : Springer
Page : 293 pages
File Size : 46,8 Mb
Release : 2014-11-26
Category : Computers
ISBN : 9783319093871

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Advances in Embedded Computer Vision by Branislav Kisačanin,Margrit Gelautz Pdf

This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories – the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.

Advances in Power Electronics and Instrumentation Engineering

Vinu V Das,Nessy Thankachan,Narayan C. Debnath
Advances in Power Electronics and Instrumentation Engineering Book PDF

Author : Vinu V Das,Nessy Thankachan,Narayan C. Debnath
Publisher : Springer
Page : 136 pages
File Size : 43,5 Mb
Release : 2011-04-11
Category : Computers
ISBN : 9783642204999

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Advances in Power Electronics and Instrumentation Engineering by Vinu V Das,Nessy Thankachan,Narayan C. Debnath Pdf

This book constitutes the refereed proceedings of the Second International Conference on Advances in Power Electronics and Instrumentation Engineering, PEIE 2011, held at Nagpur, India, in April 2011. The 9 revised full papers presented together with 4 short papers and 7 poster papers were carefully reviewed and selected from numerous submissions. The papers address current issues in the field of power electronics, communication engineering, instrumentation engineering, digital electronics, electrical power engineering, electrical machines, information technology, control systems, and the like.

Smart Intelligent Computing and Applications

Suresh Chandra Satapathy,Vikrant Bhateja,Swagatam Das
Smart Intelligent Computing and Applications Book PDF

Author : Suresh Chandra Satapathy,Vikrant Bhateja,Swagatam Das
Publisher : Springer
Page : 689 pages
File Size : 45,5 Mb
Release : 2018-11-04
Category : Technology & Engineering
ISBN : 9789811319273

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Smart Intelligent Computing and Applications by Suresh Chandra Satapathy,Vikrant Bhateja,Swagatam Das Pdf

The proceedings covers advanced and multi-disciplinary research on design of smart computing and informatics. The theme of the book broadly focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and industries. The volume publishes quality work pertaining to the scope of the conference which is extended towards deployment of emerging computational and knowledge transfer approaches, optimizing solutions in varied disciplines of science, technology and healthcare.

Encyclopedia of Information Science and Technology, Fifth Edition

Khosrow-Pour D.B.A., Mehdi
Encyclopedia of Information Science and Technology Fifth Edition Book PDF

Author : Khosrow-Pour D.B.A., Mehdi
Publisher : IGI Global
Page : 1966 pages
File Size : 48,5 Mb
Release : 2020-07-24
Category : Computers
ISBN : 9781799834809

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Encyclopedia of Information Science and Technology, Fifth Edition by Khosrow-Pour D.B.A., Mehdi Pdf

The rise of intelligence and computation within technology has created an eruption of potential applications in numerous professional industries. Techniques such as data analysis, cloud computing, machine learning, and others have altered the traditional processes of various disciplines including healthcare, economics, transportation, and politics. Information technology in today’s world is beginning to uncover opportunities for experts in these fields that they are not yet aware of. The exposure of specific instances in which these devices are being implemented will assist other specialists in how to successfully utilize these transformative tools with the appropriate amount of discretion, safety, and awareness. Considering the level of diverse uses and practices throughout the globe, the fifth edition of the Encyclopedia of Information Science and Technology series continues the enduring legacy set forth by its predecessors as a premier reference that contributes the most cutting-edge concepts and methodologies to the research community. The Encyclopedia of Information Science and Technology, Fifth Edition is a three-volume set that includes 136 original and previously unpublished research chapters that present multidisciplinary research and expert insights into new methods and processes for understanding modern technological tools and their applications as well as emerging theories and ethical controversies surrounding the field of information science. Highlighting a wide range of topics such as natural language processing, decision support systems, and electronic government, this book offers strategies for implementing smart devices and analytics into various professional disciplines. The techniques discussed in this publication are ideal for IT professionals, developers, computer scientists, practitioners, managers, policymakers, engineers, data analysts, and programmers seeking to understand the latest developments within this field and who are looking to apply new tools and policies in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to software engineering, cybersecurity, information technology, media and communications, urban planning, computer science, healthcare, economics, environmental science, data management, and political science will benefit from the extensive knowledge compiled within this publication.

Intelligent Computing and Communication

Vikrant Bhateja,Suresh Chandra Satapathy,Yu-Dong Zhang,V. N. Manjunath Aradhya
Intelligent Computing and Communication Book PDF

Author : Vikrant Bhateja,Suresh Chandra Satapathy,Yu-Dong Zhang,V. N. Manjunath Aradhya
Publisher : Springer Nature
Page : 835 pages
File Size : 44,5 Mb
Release : 2020-02-17
Category : Technology & Engineering
ISBN : 9789811510847

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Intelligent Computing and Communication by Vikrant Bhateja,Suresh Chandra Satapathy,Yu-Dong Zhang,V. N. Manjunath Aradhya Pdf

This book features a collection of high-quality, peer-reviewed papers presented at the Third International Conference on Intelligent Computing and Communication (ICICC 2019) held at the School of Engineering, Dayananda Sagar University, Bengaluru, India, on 7 – 8 June 2019. Discussing advanced and multi-disciplinary research regarding the design of smart computing and informatics, it focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare.

Knowledge Discovery from Data Streams

Joao Gama
Knowledge Discovery from Data Streams Book PDF

Author : Joao Gama
Publisher : CRC Press
Page : 256 pages
File Size : 44,6 Mb
Release : 2010-05-25
Category : Business & Economics
ISBN : 9781439826126

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Knowledge Discovery from Data Streams by Joao Gama Pdf

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents