Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
VQBD: exploring semistructured data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Signature-Based Methods for Data Streams
Data Mining and Knowledge Discovery
IEEE Intelligent Systems
Representative Objects: Concise Representations of Semistructured, Hierarchial Data
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Adding Structure to Unstructured Data
ICDT '97 Proceedings of the 6th International Conference on Database Theory
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Unifying Learning Methods by Colored Digraphs
ALT '93 Proceedings of the 4th International Workshop on Algorithmic Learning Theory
SEuS: Structure Extraction Using Summaries
DS '02 Proceedings of the 5th International Conference on Discovery Science
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
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We address the problem of tracking a group of agents based on their communications over a network when the network devices used for communication (e.g., phones for telephony, IP addresses for the Internet) change continually. We present a system design and describe our work on its key modules. Our methods are based on detecting frequent patterns in graphs and on visual exploration of large amounts of raw and processed data using a zooming interface.