Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Efficiently Mining Approximate Models of Associations in Evolving Databases
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Mining and monitoring evolving data
Handbook of massive data sets
Mining Frequent Itemsets in Distributed and Dynamic Databases
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Incremental, Online, and Merge Mining of Partial Periodic Patterns in Time-Series Databases
IEEE Transactions on Knowledge and Data Engineering
estWin: Online data stream mining of recent frequent itemsets by sliding window method
Journal of Information Science
Expanding the taxonomies of bibliographic archives with persistent long-term themes
Proceedings of the 2006 ACM symposium on Applied computing
An on-line interactive method for finding association rules data streams
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
On-line generation association rules over data streams
Information and Software Technology
The Panda framework for comparing patterns
Data & Knowledge Engineering
On exploiting the power of time in data mining
ACM SIGKDD Explorations Newsletter
Fast likelihood search for hidden Markov models
ACM Transactions on Knowledge Discovery from Data (TKDD)
Mining and validation of localized frequent web access patterns with dynamic tolerance
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Temporal evolution and local patterns
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
A programmable pipelined queue for approximate string matching
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
On clustering techniques for change diagnosis in data streams
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
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This paper reexamines the rules of thumb for the design of data storage systems. Briefly, it looks at storage, processing, and networking costs, ratios, and trends with a particular focus on performance and price/performance. Amdahl's ratio laws for ...