Hands On Pattern Mining

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Hands On Pattern Mining

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Author : Uday Kiran Rage
language : en
Publisher: Springer Nature
Release Date : 2025-08-11

Hands On Pattern Mining written by Uday Kiran Rage and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.

This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs. The book consists of three main parts: !-- [if !supportLists]--· !--[endif]--Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage. !-- [if !supportLists]--· !--[endif]--Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs. !-- [if !supportLists]--· !--[endif]--Applications: The book concludes with several applications, where the predicted knowledge using TensorFlow and PyTorch was transformed into a database to discover future trends or patterns.

Machine Learning For Data Streams

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Author : Albert Bifet
language : en
Publisher: MIT Press
Release Date : 2018-03-16

Machine Learning For Data Streams written by Albert Bifet and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-16 with Computers categories.

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.

The Patterns Handbook

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Author : Linda Rising
language : en
Publisher: Cambridge University Press
Release Date : 1998-06-28

The Patterns Handbook written by Linda Rising and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-06-28 with Computers categories.

In The Patterns Handbook, Linda Rising has selected seminal articles and essays that illustrate the growing importance of patterns in application development. In this important collection, you will find articles on pattern writing, pattern templates, system test patterns, frameworks and design patterns, how patterns work in teams, patterns and antipatterns, and patterns of thought. A partial list of well published experts includes James Coplien, Kent Beck, Grady Booch, Ralph Johnson, Robert Martin, Andrew Koenig, and John Vlissides. This reference contains an overview, examples and experience, resources, an annotated bibliography, and contact information. The use of patterns leads to successful solutions to recurring problems. This book will show you how to use patterns to improve productivity and quality and to become a better software designer.

Large Scale Pattern Based Information Extraction From The World Wide Web

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Author : Sebastian Blohm
language : en
Publisher: KIT Scientific Publishing
Release Date : 2011

Large Scale Pattern Based Information Extraction From The World Wide Web written by Sebastian Blohm and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business categories.

Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.

Frequent Pattern Mining

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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2014-08-29

Frequent Pattern Mining written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-29 with Computers categories.

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.

Introduction To Surface Coal Mining

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Author :
language : en
Publisher:
Release Date : 2007

Introduction To Surface Coal Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Coal mines and mining categories.

Preference Based Spatial Co Location Pattern Mining

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Author : Lizhen Wang
language : en
Publisher: Springer Nature
Release Date : 2022-01-04

Preference Based Spatial Co Location Pattern Mining written by Lizhen Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-04 with Computers categories.

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.

Complex Networks And Their Applications Viii

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Author : Hocine Cherifi
language : en
Publisher: Springer Nature
Release Date : 2019-11-26

Complex Networks And Their Applications Viii written by Hocine Cherifi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Technology & Engineering categories.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Application And Theory Of Petri Nets And Concurrency

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Author : Victor Khomenko
language : en
Publisher: Springer
Release Date : 2018-05-29

Application And Theory Of Petri Nets And Concurrency written by Victor Khomenko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-29 with Computers categories.

This book constitutes the proceedings of the 39th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2018, held in Bratislava, Slovakia, in June 2018. Petri Nets 2017 is co-located with the 19th International Conference on Application of Concurrency to System Design, ACSD 2018. The 15 regular and 8 tool papers, with 1 invited talk presented together in this volume were carefully reviewed and selected from 33 submissions. The focus of the conference is on following topics: Petri Nets Synthesis; Analysis and Model Checking; Languages; Semantics and Expressiveness; and Tools.

Pattern Detection And Discovery

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Author : David J Hand
language : en
Publisher: Springer
Release Date : 2003-08-02

Pattern Detection And Discovery written by David J Hand and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.

The collation of large electronic databases of scienti?c and commercial infor- tion has led to a dramatic growth of interest in methods for discovering struc- res in such databases. These methods often go under the general name of data mining. One important subdiscipline within data mining is concerned with the identi?cation and detection of anomalous, interesting, unusual, or valuable - cords or groups of records, which we call patterns. Familiar examples are the detection of fraud in credit-card transactions, of particular coincident purchases in supermarket transactions, of important nucleotide sequences in gene sequence analysis, and of characteristic traces in EEG records. Tools for the detection of such patterns have been developed within the data mining community, but also within other research communities, typically without an awareness that the - sic problem was common to many disciplines. This is not unreasonable: each of these disciplines has a large literature of its own, and a literature which is growing rapidly. Keeping up with any one of these is di?cult enough, let alone keeping up with others as well, which may in any case be couched in an - familiar technical language. But, of course, this means that opportunities are being lost, discoveries relating to the common problem made in one area are not transferred to the other area, and breakthroughs and problem solutions are being rediscovered, or not discovered for a long time, meaning that e?ort is being wasted and opportunities may be lost.