Finding Frequent Patterns From Graph Datasets

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Finding Frequent Patterns From Graph Datasets

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Author : Michihiro Kuramochi
language : en
Publisher:
Release Date : 2005

Finding Frequent Patterns From Graph Datasets written by Michihiro Kuramochi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.

Proceedings Of The Siam International Conference On Data Mining

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Author :
language : en
Publisher:
Release Date : 2005

Proceedings Of The Siam International Conference On Data 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 2005 with Data mining categories.

Kdd

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Author :
language : en
Publisher:
Release Date : 2006

Kdd written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Data mining categories.

2001 Ieee International Conference On Data Mining

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Author : Nick Cercone
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2001

2001 Ieee International Conference On Data Mining written by Nick Cercone and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

This proceedings of the November 2001 conference explores the design, analysis and implementation of data mining theory and systems. The 72 regular papers and 37 posters discuss data mining algorithms, data and knowledge representation, modeling of data to support data mining, scalability issues, st

Dissertation Abstracts International

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Author :
language : en
Publisher:
Release Date : 2008

Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Dissertations, Academic categories.

International Conference On Scientific And Statistical Database Management

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Author :
language : en
Publisher:
Release Date : 2004

International Conference On Scientific And Statistical Database Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Database design categories.

Advances In Knowledge Discovery And Data Mining

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Author :
language : en
Publisher:
Release Date : 2005

Advances In Knowledge Discovery And Data 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 2005 with Data mining categories.

Data Mining

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Author : Hillol Kargupta
language : en
Publisher:
Release Date : 2004

Data Mining written by Hillol Kargupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.

A state-of-the-art survey of recent advances in data mining or knowledge discovery.

New Techniques For Efficiently Discovering Frequent Patterns

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Author : Ruoming Jin
language : en
Publisher:
Release Date : 2005

New Techniques For Efficiently Discovering Frequent Patterns written by Ruoming Jin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.

Abstract: Because of its theoretical and practical importance, the field of frequent pattern mining has been and remain to be one of the most active research area in KDD. In this dissertation, we study three different problems in frequent pattern mining, mining multipledatasets, mining streaming data, and mining large-scale structures from graph datasets. Our study has not only extended the breadth of frequent pattern mining, but also brought new techniques and algorithms into this field. Specifically, our contributions are as follows. 1. Mining Multiple Datasets: We develop a systematic approach to generate efficient query plans for a single mining query across multiple datasets. We also propose methods to simultaneously optimize multiple such queries and utilize the past mining results in a query-intensive KDD environment. Our experimental results have shown a speedup up to two-order of magnitude comparing with the naive methods without these optimizations. 2. Mining Frequent Itemsets over Streaming Data: We propose a new algorithm StreamMining to discover the frequent itemsets over streaming data. In a single pass, StreamMining will guarantee to find a superset of frequent itemsets, but false positive may occur. If the second pass is allowed, StreamMining will be able to remove the false positive and find the exact frequent itemsets. Our detailed evaluation using both synthetic and real datasets has shown our one-pass algorithm is very accurate in practice, and is also very memory efficient. 3. Mining Frequent Large-Scale Structures from Graph Datasets: We develop a new framework to discover the frequent large-scale structures from graph datasets. This framework is derived from a mathematical concept, topological minor. In this framework, we propose a new algorithm TSMiner, which efficiently enumerates all the frequent large-scale structures in a graph dataset, and a new approach called relabeling function to perform constraint mining. We apply our framework to protein structure data and discover meaningful topological structures. Finally, we demonstrate the viability and scalability of the proposed algorithms on both real and synthetic datasets.

3rd Ieee International Conference On Data Mining

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Author : Xindong Wu
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2003

3rd Ieee International Conference On Data Mining written by Xindong Wu and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.

ICDM '03 brings together researchers and practitioners who describe their original research results and practical development experiences in Data Mining technology. The papers explore subjects in many related data-mining areas such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases, data warehousing, data visualization, and knowledge-based systems. Data mining is an emerging and highly interdisciplinary field. The ICDM '03 proceedings cover a broad and diverse range of topics related to data-mining theory, systems, and applications.