
Managing and Mining Graph Data by Charu C Aggarwal
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.-
Fuzzy Database Modeling with XML
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Advances in Digital Government
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Quantifiers in Action
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Advanced Database Indexing
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Database Issues in Geographic Information Systems
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Advanced Signature Indexing for Multimedia and Web Applications
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Searching Multimedia Databases by Content
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Time-Constrained Transaction Management
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Fuzzy Logic in Data Modeling
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Access to Mobile Services
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Index Data Structures in Object-Oriented Databases
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Database Recovery
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Association Rule Hiding for Data Mining
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Parallel, Object-Oriented, and Active Knowledge Base Systems
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Information Brokering Across Heterogeneous Digital Data
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Mutation Testing for the New Century
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Database Concurrency Control
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The Fractal Structure of Data Reference
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Object Relationship Notation (ORN) for Database Applications
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Mining Sequential Patterns from Large Data Sets
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Stream Data Processing: A Quality of Service Perspective
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Managing and Mining Uncertain Data
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Stream Data Management
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Interconnecting Heterogeneous Information Systems
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Mining Very Large Databases with Parallel Processing
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Foundations of Knowledge Systems
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Data Management for Mobile Computing
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Similarity Search
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Middleware Networks
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Information and Database Quality
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Indexing Techniques for Advanced Database Systems
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Replication Techniques in Distributed Systems
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Multilevel Secure Transaction Processing
From the reviews:
“This book provides a survey of some recent advances in graph miningIt contains chapters on graph languages, indexing, clustering, pattern mining, keyword search, and pattern matching. … The book is targeted at advanced undergraduate or graduate students, faculty members, and researchers from both industry and academia. … I highly recommend this book to someone who is starting to explore the field of graph mining or wants to delve deeper into this exciting field.” (Dimitrios Katsaros, ACM Computing Reviews, December, 2010)
Charu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his undergraduate degree in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his Ph.D. from the Massachusetts Institute of Technology in 1996. He has worked extensively in the field of data mining. He has published more than 350 papers in refereed conferences and journals and authored over 80 patents. He is the author or editor of 17 books, including textbooks on data mining, recommender systems, and outlier analysis. Because of the commercial value of his patents, he has thrice been designated a Master Inventor at IBM. He is a recipient of an IBM Corporate Award (2003) for his work on bio-terrorist threat detection in data streams, a recipient of the IBM Outstanding Innovation Award (2008) for his scientific contributions to privacy technology, and a recipient of two IBM Outstanding Technical Achievement Awards (2009, 2015) for his work on data streams/high-dimensional data. He received the EDBT 2014 Test of Time Award for his work on condensation-based privacy-preserving data mining. He is also a recipient of the IEEE ICDM Research Contributions Award (2015), which is one of the two highest awards for influential research contributions in the field of data mining. He has served as the general co-chair of the IEEE Big Data Conference (2014) and as the program co-chair of the ACM CIKM Conference (2015), the IEEE ICDM Conference (2015), and the ACM KDD Conference (2016). He served as an associate editor of the IEEE Transactions on Knowledge and Data Engineering from 2004 to 2008. He is an associate editor of the IEEE Transactions on Big Data, an action editor of the Data Mining and Knowledge Discovery Journal, and an associate editor of the Knowledge and Information Systems Journal. He has served as editor-in-chief of the ACM SIGKDD Explorations (2014-2017) and is currently an editor-in-chief of the ACM Transactions on Knowledge Discovery from Data. He serves on the advisory board of the Lecture Notes on Social Networks, a publication by Springer. He has served as the vice-president of the SIAM Activity Group on Data Mining and is a member of the SIAM industry committee. He is a fellow of the SIAM, ACM, and the IEEE, for contributions to knowledge discovery and data mining algorithms.
| SKU | Unavailable |
| ISBN 13 | 9781461425601 |
| ISBN 10 | 1461425603 |
| Title | Managing and Mining Graph Data |
| Author | Charu C Aggarwal |
| Series | Advances In Database Systems |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2012-04-06 |
| Number of pages | 600 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
































