Using a knowledge cache for interactive discovery of association rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
CubiST: a new algorithm for improving the performance of ad-hoc OLAP queries
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Making Knowledge Extraction and Reasoning Closer
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Query Initiated Discovery of Interesting Association Rules
DS '98 Proceedings of the First International Conference on Discovery Science
Experiences with a Logic-Based Knowledge Discovery Support Environment
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Data mining tasks and methods: Rule discovery: characteristic rules
Handbook of data mining and knowledge discovery
Case studies: Public domain, multiple mining tasks systems: DBMiner
Handbook of data mining and knowledge discovery
Effective data mining: a data warehouse-backboned architecture
CASCON '98 Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
Automatic Aggregation Using Explicit Metadata
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Itemset Trees for Targeted Association Querying
IEEE Transactions on Knowledge and Data Engineering
Advanced visualization for OLAP
DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
E-commerce and executive information systems: a managerial perspective
The economic and social impacts of e-commerce
Enhancing OLAP functionality using self-organizing neural networks
Neural, Parallel & Scientific Computations - Special issue: Computing intelligence in management
A hybrid neural network based DBMS system for enhanced functionality
Design and application of hybrid intelligent systems
A new OLAP aggregation based on the AHC technique
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
A compression method for prefix-sum cubes
Information Processing Letters
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Supporting mobile decision making with association rules and multi-layered caching
Decision Support Systems
Online mining of fuzzy multidimensional weighted association rules
Applied Intelligence
Discovering branching and fractional dependencies in databases
Data & Knowledge Engineering
Warehousing complex data from the web
International Journal of Web Engineering and Technology
Measuring interestingness of discovered skewed patterns in data cubes
Decision Support Systems
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Mining convergent and divergent sequences in multidimensional data
International Journal of Business Intelligence and Data Mining
Augmenting OLAP exploration with dynamic advanced analytics
Proceedings of the 13th International Conference on Extending Database Technology
Integrating fuzziness with OLAP association rules mining
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Techniques for finding similarity knowledge in OLAP reports
Expert Systems with Applications: An International Journal
ClustCube: an OLAP-based framework for clustering and mining complex database objects
Proceedings of the 2011 ACM Symposium on Applied Computing
OLAP over continuous domains via density-based hierarchical clustering
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A relational query primitive for constraint-based pattern mining
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Shaping SQL-Based frequent pattern mining algorithms
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Enhanced clustering of complex database objects in the clustcube framework
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
A data mining approach to knowledge discovery from multidimensional cube structures
Knowledge-Based Systems
Discover and visualize association rules from sensor observations on the web
The Journal of Supercomputing
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
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Great efforts have been paid in the Intelligent Database Systems Research Lab for the research and development of efficient data mining methods and construction of on-line analytical data mining systems.Our work has been focused on the integration of data mining and OLAP technologies and the development of scalable, integrated, and multiple data mining functions. A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases and data warehouses. The system implements a wide spectrum of data mining functions, including characterization, comparison, association, classification, prediction, and clustering. It also builds up a user-friendly, interactive data mining environment and a set of knowledge visualization tools. In-depth research has been performed on the efficiency and scalability of data mining methods. Moreover, the research has been extended to spatial data mining, multimedia data mining, text mining, and Web mining with several new data mining system prototypes constructed or under construction, including GeoMiner, MultiMediaMiner, and WebLogMiner.This article summarizes our research and development activities in the last several years and shares our experiences and lessons with the readers.