Data Pattern Matching

Data pattern matching

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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric System…

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Data pattern matching

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Combinatorial Pattern Matching: 26th Annual Symposium, CPM 2015, Ischia Island, Italy, June 29 — July 1, 2015, Proceeding…

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Data pattern matching

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Flexible Pattern Matching in Strings: Practical On-Line Search Algorithms for Texts and Biological Sequences

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Effective awk Programming: Universal Text Processing and Pattern Matching

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The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications (Springer Optimization and I…

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Programming Machine Learning: From Coding to Deep Learning

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Computer Vision: Algorithms and Applications (Texts in Computer Science)

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Algorithm
s in a Nutshell: A Practical Guide

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Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery)

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Mathematical Biology: An Introduction with Maple and Matlab (Undergraduate Texts in Mathematics)

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Individual and Collective Graph Mining: Principles, Algorithms, and Applications (Synthesis Lectures on Data Mining and Kn…

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Unsupervised Learning in Space and Time (Advances in Computer Vision and Pattern Recognition)

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ΔΙΑΤΡΙΒΗ

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Infographics

Infographics

Infographic charts. Colorful data graphs, statistics dashboard chart and analytic presentation graph vector set. Business data visualization, stock market diagram on black background. Sales analysis One EPS10 file 72ppi Resolution JPEG as a preview If you want to separate elements or edit something, please use vector editor e.g. Illustrator


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This book constitutes the refereed proceedings of the 17th Annual Symposium on Combinatorial Pattern Matching, CPM 2006, held in Barcelona, Spain, July 2006. The book presents 33 revised full papers together with 3 invited talks, organized in topical sections on data structures, indexing data structures, probabilistic and algebraic techniques, applications in molecular biology, string matching, data compression, and dynamic programming. • ISBN:9783540354550 • Format:Paperback • Publication Date:2006-06-26


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| Author: Alexander Boxer | Publisher: W. W. Norton \u0026 Company | Publication Date: January 14, 2020 | Number of Pages: 336 pages | Language: English | Binding: Hardcover | ISBN-10: 0393634841 | ISBN-13: 9780393634846


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Object relationships in modern software systems are becoming increasingly numerous and complex, and program errors due to violations of object relationships are difficult to detect. Programmers need new tools that allow them to explore objects in a large system more efficiently and to detect broken object relationships instantaneously. Such tools incorporate approaches used in such areas as data visualization, pattern matching and extraction, database querying, active databases, and rule-based programming. The query-based debugging approach developed by the author of this book is another powerful yet efficient tool to be added to the developer’s tool chest. Advanced Debugging Methods presents practice and tools for debugging computer programs. This book proposes new powerful approaches that simplify the daunting task of debugging complex software systems. Although debugging has been addressed in numerous research papers, many of its methods have yet to be explored in a book-length format. This book helps to fill this gap by presenting an overview of existing debugging tools with motivating examples and case studies, as well as presenting new, state-of-the-art debugging methods. Advanced Debugging Methods will be of use to software developers looking for tools to be applied in cutting edge practice; system architects looking at the relationship between software design and debugging; tools and programming language researchers looking for new ideas in run-time tool implementation as well as detailed descriptions of advanced implementations; and university professors and graduate students who will use this book as supplementary reading for graduate courses in programming tools, lang
uage implementation, and advanced object-oriented systems. Advanced Debugging Methods is also a handy reference of currently existing debugging methodologies as well as a springboard for cutting-edge research to simplify the difficult task of debugging and to facilitate the development of more robust software systems. The Springer International Engineering and Computer Science: Advanced Debugging Methods (Hardcover)


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Here is a thorough review of graph management and mining, offering extensive surveys on a variety of topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. An Introduction to Graph Data.- Graph Data Management and Mining: A Survey of Algorithms and Applications.- Graph Mining: Laws and Generators.- Query Language and Access Methods for Graph Databases.- Graph Indexing.- Graph Reachability Queries: A Survey.- Exact and Inexact Graph Matching: Methodology and Applications.- A Survey of Algorithms for Keyword Search on Graph Data.- A Survey of Clustering Algorithms for Graph Data.- A Survey of Algorithms for Dense Subgraph Discovery.- Graph Classification.- Mining Graph Patterns.- A Survey on Streaming Algorithms for Massive Graphs.- A Survey of Privacy-Preservation of Graphs and Social Networks.- A Survey of Graph Mining for Web Applications.- Graph Mining Applications to Social Network Analysis.- Software-Bug Localization with Graph Mining.- A Survey of Graph Mining Techniques for Biological Datasets.- Trends in Chemical Graph Data Mining. • ISBN:9781441960443 • Format:Hardcover • Publication Date:2010-02-19


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