Automatic personalization based on Web usage mining
Communications of the ACM
A streaming ensemble algorithm (SEA) for large-scale classification
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Top-k selection queries over relational databases: Mapping strategies and performance evaluation
ACM Transactions on Database Systems (TODS)
Exploiting succinct constraints using FP-trees
ACM SIGKDD Explorations Newsletter
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Weighted Association Rule Mining using weighted support and significance framework
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Pushing Convertible Constraints in Frequent Itemset Mining
Data Mining and Knowledge Discovery
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
A Statistical Model for User Preference
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Ordering the attributes of query results
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Context-based User Preferences for m-Services Applications
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites
IEEE Transactions on Knowledge and Data Engineering
Mining Weighted Association Rules without Preassigned Weights
IEEE Transactions on Knowledge and Data Engineering
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Context-aware content filtering & presentation for pervasive & mobile information systems
Proceedings of the 1st international conference on Ambient media and systems
Mining preferences from superior and inferior examples
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
A methodology for preference-based personalization of contextual data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
And what can context do for data?
Communications of the ACM - Scratch Programming for All
Context-Aware Recommendation by Aggregating User Context
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
Context-Aware User and Service Profiling by Means of Generalized Association Rules
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Personalizing queries based on networks of composite preferences
ACM Transactions on Database Systems (TODS)
Relational data tailoring through view composition
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Discovery and application of functional dependencies in conjunctive query mining
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
Modeling the propagation of user preferences
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Processing preference queries in standard database systems
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
CARVE: Context-aware automatic view definition over relational databases
Information Systems
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The term information overload was already used back in the 1970s by Alvin Toffler in his book Future Shock, and refers to the difficulty to understand and make decisions when too much information is available. In the era of Big Data, this problem becomes much more dramatic, since users may be literally overwhelmed by the cataract of data accessible in the most varied forms. With context-aware data tailoring, given a target application, in each specific context the system allows the user to access only the view which is relevant for that application in that context. Moreover, the relative importance of information to the same user in a different context or, reciprocally, to a different user in the same context, may vary enormously; for this reason, contextual preferences can be used to further refine the views associated with contexts, by imposing a ranking on the data of each context-aware view. In this paper, we propose a methodology and a system, PREMINE (PREference MINEr), where data mining is adopted to infer contextual preferences from the past interaction of the user with contextual views over a relational database, gathering knowledge in terms of association rules between each context and the relevant data.