A compact representation of graph databases
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
On dense pattern mining in graph streams
Proceedings of the VLDB Endowment
TPCTC'10 Proceedings of the Second TPC technology conference on Performance evaluation, measurement and characterization of complex systems
TAGs: scalable threshold-based algorithms for proximity computation in graphs
Proceedings of the 14th International Conference on Extending Database Technology
Graph cube: on warehousing and OLAP multidimensional networks
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Learning statistical models from relational data
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Towards efficient subgraph search in cloud computing environments
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Mining frequent closed graphs on evolving data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based data warehousing using the core-facets model
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
DB-CSC: a density-based approach for subspace clustering in graphs with feature vectors
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
A query language for analyzing business processes execution
BPM'11 Proceedings of the 9th international conference on Business process management
Using ontologies in semantic data mining with SEGS and g-SEGS
DS'11 Proceedings of the 14th international conference on Discovery science
A family of graph-theory-driven algorithms for managing complex probabilistic graph data efficiently
Proceedings of the 15th Symposium on International Database Engineering & Applications
gSketch: on query estimation in graph streams
Proceedings of the VLDB Endowment
Capturing topology in graph pattern matching
Proceedings of the VLDB Endowment
Densest subgraph in streaming and MapReduce
Proceedings of the VLDB Endowment
Constraint graphs as security filters for privacy assurance in medical transactions
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
A social network analysis approach to detecting suspicious online financial activities
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Distributed graph pattern matching
Proceedings of the 21st international conference on World Wide Web
Managing and mining large graphs: systems and implementations
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Graph pattern matching revised for social network analysis
Proceedings of the 15th International Conference on Database Theory
On supervised mining of dynamic content-based networks1
Statistical Analysis and Data Mining
Efficient subgraph matching on billion node graphs
Proceedings of the VLDB Endowment
Efficient subgraph similarity search on large probabilistic graph databases
Proceedings of the VLDB Endowment
Probabilistic pattern queries over complex probabilistic graphs
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Mining coherent subgraphs in multi-layer graphs with edge labels
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Space-efficient sampling from social activity streams
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Discovery of top-k dense subgraphs in dynamic graph collections
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Substructure clustering: a novel mining paradigm for arbitrary data types
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Efficient algorithms for generalized subgraph query processing
Proceedings of the 21st ACM international conference on Information and knowledge management
A framework and a language for on-line analytical processing on graphs
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Online community detection in social sensing
Proceedings of the sixth ACM international conference on Web search and data mining
StreamEB: stream edge bundling
GD'12 Proceedings of the 20th international conference on Graph Drawing
Fuzzy Sets and Systems
RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Finding contexts of social influence in online social networks
Proceedings of the 7th Workshop on Social Network Mining and Analysis
Graph hashing and factorization for fast graph stream classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Big data challenge: a data management perspective
Frontiers of Computer Science: Selected Publications from Chinese Universities
ERP event log preprocessing: timestamps vs. accounting logic
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
Strong simulation: Capturing topology in graph pattern matching
ACM Transactions on Database Systems (TODS)
Ranking in heterogeneous social media
Proceedings of the 7th ACM international conference on Web search and data mining
Discovering descriptive rules in relational dynamic graphs
Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
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Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science. About the Editors:Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has worked as a researcher at IBM since then, and has published over 130 papers in major data mining conferences and journals. He has applied for or been granted over 70 US and International patents, and has thrice been designated a Master Inventor at IBM. He has received an IBM Corporate award for his work on data stream analytics, and an IBM Outstanding Innovation Award for his work on privacy technology. He has served on the executive committees of most major data mining conferences. He has served as an associate editor of the IEEE TKDE, as an associate editor of the ACM SIGKDD Explorations, and as an action editor of the DMKD Journal. He is a fellow of the IEEE, and a life-member of the ACM. Haixun Wang is currently a researcher at Microsoft Research Asia. He received the B.S. and the M.S. degree, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000. He subsequently worked as a researcher at IBMuntil 2009. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 100 research papers in referred international journals and conference proceedings. He serves as an associate editor of the IEEE TKDE, and has served as a reviewer and program committee member of leading database conferences and journals.