Selected papers of the 9th annual ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A database perspective on knowledge discovery
Communications of the ACM
Optimizing object queries using an effective calculus
ACM Transactions on Database Systems (TODS)
A framework for data mining and KDD
Proceedings of the 2002 ACM symposium on Applied computing
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Communications of the ACM
The power of languages for the manipulation of complex values
The VLDB Journal — The International Journal 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
Mining Association Rules from XML Data
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
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Patterns are concise, but rich in semantic, representation of data (data mining results, multimedia features, Web structural information, etc.) Only few approaches exist to deal with heterogeneous patterns, even if this is an hot topic in most data-intensive and distributed applications The aim of this thesis is to investigate the potentiality of pattern-based management In particular, we plan to define sufficiently expressive pattern data models and languages to cope with different types of patterns Besides, investigation of architectural issues concerning the usage of the proposed model and languages in centralized and advanced distributed environments will be exploited.