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ORCIDData Mining and Knowledge Discovery, Volume 13
Volume 13, Number 1, July 2006
- Jianlin Cheng
, Michael J. Sweredoski, Pierre Baldi:
DOMpro: Protein Domain Prediction Using Profiles, Secondary Structure, Relative Solvent Accessibility, and Recursive Neural Networks. 1-10 - Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek:
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. 11-40 - Parvathi Chundi, Daniel J. Rosenkrantz:
Information Preserving Time Decompositions of Time Stamped Documents*. 41-65 - Laura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch:
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs. 67-87 - Charu C. Aggarwal:
On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. 89-117
Volume 13, Number 2, September 2006
- Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko:
VizRank: Data Visualization Guided by Machine Learning. 119-136 - Michael Hahsler:
A Model-Based Frequency Constraint for Mining Associations from Transaction Data. 137-166 - Didier Dubois, Eyke Hüllermeier, Henri Prade:
A systematic approach to the assessment of fuzzy association rules. 167-192 - Raymond Chi-Wing Wong, Ada Wai-Chee Fu:
Mining top-K frequent itemsets from data streams. 193-217 - Hui Xiong, Pang-Ning Tan, Vipin Kumar:
Hyperclique pattern discovery. 219-242 - Natalia Vanetik, Solomon Eyal Shimony, Ehud Gudes:
Support measures for graph data. 243-260
Volume 13, Number 3, November 2006
- Ying Yang, Xindong Wu, Xingquan Zhu:
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. 261-289 - Jakob J. Verbeek, Jan Nunnink, Nikos Vlassis:
Accelerated EM-based clustering of large data sets. 291-307 - Olivier Y. de Vel:
Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels. 309-334 - Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman:
Characteristic-Based Clustering for Time Series Data. 335-364 - Arindam Banerjee, Joydeep Ghosh:
Scalable Clustering Algorithms with Balancing Constraints. 365-395
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