Nomenclature Of Datastreams Mining Strategies Concept Drift And Research Objectives

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Nomenclature of Datastreams, Mining Strategies, Concept Drift and Research Objectives

Author : Dr. Annaluri Sreenivasa Rao
Publisher : Shineeks Publishers
ISBN 13 : 1632789531
Total Pages : 87 pages
Book Rating : 4.6/5 (327 download)

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Book Synopsis Nomenclature of Datastreams, Mining Strategies, Concept Drift and Research Objectives by : Dr. Annaluri Sreenivasa Rao

Download or read book Nomenclature of Datastreams, Mining Strategies, Concept Drift and Research Objectives written by Dr. Annaluri Sreenivasa Rao and published by Shineeks Publishers. This book was released on 2022-03-16 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streaming data is one of the primary sources of what is known as big data. While data streams and big data have gotten a lot of attention in the recent decade, many research methodologies are often intended for well-behaved controlled problem settings, overlooking major obstacles given by real-world applications. The eight open difficulties for data stream mining are discussed in this book. Our goal is to discover gaps between present research and useful applications, to highlight unresolved issues, and to create new data stream mining research lines that are relevant to applications.

Knowledge Discovery from Data Streams

Author : Joao Gama
Publisher : CRC Press
ISBN 13 : 1439826129
Total Pages : 256 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Knowledge Discovery from Data Streams by : Joao Gama

Download or read book Knowledge Discovery from Data Streams written by Joao Gama and published by CRC Press. This book was released on 2010-05-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Optimum-Path Forest

Author : Alexandre Xavier Falcao
Publisher : Elsevier
ISBN 13 : 0128226889
Total Pages : 244 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Optimum-Path Forest by : Alexandre Xavier Falcao

Download or read book Optimum-Path Forest written by Alexandre Xavier Falcao and published by Elsevier. This book was released on 2022-01-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimum-Path Forest: Theory, Algorithms, and Applications was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions. Presents the first book on Optimum-path Forest Shows how it can be used with Deep Learning Gives a wide range of applications Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)

Learning from Data Streams

Author : João Gama
Publisher : Springer Science & Business Media
ISBN 13 : 3540736786
Total Pages : 486 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Learning from Data Streams by : João Gama

Download or read book Learning from Data Streams written by João Gama and published by Springer Science & Business Media. This book was released on 2007-10-11 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.

Intelligent Computing for Sustainable Development

Author : S. Satheeskumaran
Publisher : Springer Nature
ISBN 13 : 3031612876
Total Pages : 428 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Intelligent Computing for Sustainable Development by : S. Satheeskumaran

Download or read book Intelligent Computing for Sustainable Development written by S. Satheeskumaran and published by Springer Nature. This book was released on with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Collaborative Filtering Using Data Mining and Analysis

Author : Bhatnagar, Vishal
Publisher : IGI Global
ISBN 13 : 1522504907
Total Pages : 336 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Collaborative Filtering Using Data Mining and Analysis by : Bhatnagar, Vishal

Download or read book Collaborative Filtering Using Data Mining and Analysis written by Bhatnagar, Vishal and published by IGI Global. This book was released on 2016-07-13 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligatory to find ways to sift through and categorize the overload of data while removing redundant material. Collaborative Filtering Using Data Mining and Analysis evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices. Featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis, as well as their various applications, this book is an essential reference source for researchers and engineers interested in collaborative filtering.

Machine Learning Techniques for Improved Business Analytics

Author : G., Dileep Kumar
Publisher : IGI Global
ISBN 13 : 1522535357
Total Pages : 300 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Machine Learning Techniques for Improved Business Analytics by : G., Dileep Kumar

Download or read book Machine Learning Techniques for Improved Business Analytics written by G., Dileep Kumar and published by IGI Global. This book was released on 2018-07-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

Machine Learning for Data Streams

Author : Albert Bifet
Publisher : MIT Press
ISBN 13 : 0262346052
Total Pages : 262 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Machine Learning for Data Streams by : Albert Bifet

Download or read book Machine Learning for Data Streams written by Albert Bifet and published by MIT Press. This book was released on 2018-03-16 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics with Applications in Insider Threat Detection

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1498705480
Total Pages : 544 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data Analytics with Applications in Insider Threat Detection by : Bhavani Thuraisingham

Download or read book Big Data Analytics with Applications in Insider Threat Detection written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2017-11-22 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Learning in Non-Stationary Environments

Author : Moamar Sayed-Mouchaweh
Publisher : Springer Science & Business Media
ISBN 13 : 1441980202
Total Pages : 439 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Learning in Non-Stationary Environments by : Moamar Sayed-Mouchaweh

Download or read book Learning in Non-Stationary Environments written by Moamar Sayed-Mouchaweh and published by Springer Science & Business Media. This book was released on 2012-04-13 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.

Proceedings of the 12th International Conference on Soft Computing for Problem Solving

Author : Millie Pant
Publisher : Springer Nature
ISBN 13 : 9819732921
Total Pages : 922 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of the 12th International Conference on Soft Computing for Problem Solving by : Millie Pant

Download or read book Proceedings of the 12th International Conference on Soft Computing for Problem Solving written by Millie Pant and published by Springer Nature. This book was released on with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Frontiers in Mining Complex Patterns

Author : Michelangelo Ceci
Publisher : Springer
ISBN 13 : 3319393154
Total Pages : 244 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis New Frontiers in Mining Complex Patterns by : Michelangelo Ceci

Download or read book New Frontiers in Mining Complex Patterns written by Michelangelo Ceci and published by Springer. This book was released on 2016-05-17 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Process Mining Handbook

Author : Wil M. P. van der Aalst
Publisher : Springer Nature
ISBN 13 : 3031088484
Total Pages : 503 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Process Mining Handbook by : Wil M. P. van der Aalst

Download or read book Process Mining Handbook written by Wil M. P. van der Aalst and published by Springer Nature. This book was released on 2022-06-27 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.

Sentiment Analysis and Knowledge Discovery in Contemporary Business

Author : Rajput, Dharmendra Singh
Publisher : IGI Global
ISBN 13 : 1522550003
Total Pages : 355 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Sentiment Analysis and Knowledge Discovery in Contemporary Business by : Rajput, Dharmendra Singh

Download or read book Sentiment Analysis and Knowledge Discovery in Contemporary Business written by Rajput, Dharmendra Singh and published by IGI Global. This book was released on 2018-08-31 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

Advances in Knowledge Discovery and Data Mining

Author : Joshua Zhexue Huang
Publisher : Springer
ISBN 13 : 364220841X
Total Pages : 588 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Joshua Zhexue Huang

Download or read book Advances in Knowledge Discovery and Data Mining written by Joshua Zhexue Huang and published by Springer. This book was released on 2011-05-27 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Trends in Deep Learning Methodologies

Author : Vincenzo Piuri
Publisher : Academic Press
ISBN 13 : 0128232684
Total Pages : 308 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Trends in Deep Learning Methodologies by : Vincenzo Piuri

Download or read book Trends in Deep Learning Methodologies written by Vincenzo Piuri and published by Academic Press. This book was released on 2020-11-12 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. - Provides insights into the theory, algorithms, implementation and the application of deep learning techniques - Covers a wide range of applications of deep learning across smart healthcare and smart engineering - Investigates the development of new models and how they can be exploited to find appropriate solutions

ECAI 2016

Author : G.A. Kaminka
Publisher : IOS Press
ISBN 13 : 1614996725
Total Pages : 1860 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis ECAI 2016 by : G.A. Kaminka

Download or read book ECAI 2016 written by G.A. Kaminka and published by IOS Press. This book was released on 2016-08-24 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.