The Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000) was held in Greenwich, UK 4–6 September. DaWaK 2000 was a forum where researchers from data warehousing and knowledge discovery disciplines could exchange ideas on improving next generation decision support and data mining systems.

Data Warehouse Design.- The Design and Development of a Logical System for OLAP.- Applying Vertical Fragmentation Techniques in Logical Design of Multidimensional Databases.- Space-Efficient Data Cubes for Dynamic Environments.- On Making Data Warehouses Active.- Materialized Views.- Supporting Hot Spots with Materialized Views.- Evaluation of Materialized View Indexing in Data Warehousing Environments.- View Derivation Graph with Edge Fitting for Adaptive Data Warehousing.- On the Importance of Tuning in Incremental View Maintenance: An Experience Case Study.- Warehouse Data Creation and Maintenance.- BEDAWA - A Tool for Generating Sample Data for Data Warehouses.- DyDa: Dynamic Data Warehouse Maintenance in a Fully Concurrent Environment.- Scalable Maintenance of Multiple Interrelated Data Warehousing Systems.- View Maintenance for Hierarchical Semistructured Data.- Maintaining Horizontally Partitioned Warehouse Views.- Invited Talk.- Funding Research in Data Warehousing and Knowledge Discovery EPROS: The European Plan for Research in Official Statistics.- Warehouse Views Selection and Evolution.- Elimination of Redundant Views in Multidimensional Aggregates.- Data Cube Compression with QuantiCubes.- History-Driven View Synchronization.- A Logical Model for Data Warehouse Design and Evolution.- OLAP System Design and Query Analysis.- An Alternative Relational OLAP Modeling Approach.- Functional Dependencies in Controlling Sparsity of OLAP Cubes.- An OLAP-based Scalable Web Access Analysis Engine.- PROMISE: Predicting Query Behavior to Enable Predictive Caching Strategies for OLAP Systems.- OLAP Query Evaluation.- Supporting Online Queries in ROLAP.- Optimal Multidimensional Query Processing Using Tree Striping.- Enhancing Preprocessing in Data-Intensive Domains usingOnline-Analytical Processing.- Meta-queries - Computation and Evaluation.- Partitioning Algorithms for the Computation of Average Iceberg Queries.- Invited Talk.- Security in Data Warehousing.- Association Rules.- Mining of Association Rules in Text Databases Using Inverted Hashing and Pruning.- SQL Based Association Rule Mining Using Commercial RDBMS (IBM DB2 UDB EEE).- On Supporting Interactive Association Rule Mining.- Temporal Association Rules.- Discovering Temporal Patterns for Interval-based Events.- An Integrated Query and Mining System for Temporal Association Rules.- Mining Changes for Real-Life Applications.- AIM: Approximate Intelligent Matching for Time Series Data.- Mining Complex Databases.- Cofe: A Scalable Method for Feature Extraction from Complex Objects.- The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k-Nearest-Neighbor Queries.- Data Mining Support in Database Management Systems.- Decision trees for probabilistic data.- Mining Frequent Binary Expressions.- A Fast Algorithm for Hierarchical Text Classification.- A Hybrid Technique for Data Mining on Balance-Sheet Data.- Mondou: Information Navigator with Visual Interface.- Vmhist: Efficient Multidimensional Histograms with Improved Accuracy.