6. DMKD 2001:
Santa Barbara, CA, USA
2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, Santa Barbara, CA, USA, May 20, 2001
- Minos N. Garofalakis, Rajeev Rastogi:
Data Mining Meets Network Management: The NEMESIS Project.

- Padhraic Smyth:
Breaking out of the Black-Box: Research Challenges in Data Mining.

- Jian Pei, Anthony K. H. Tung, Jiawei Han:
Fault-Tolerant Frequent Pattern Mining: Problems and Challenges.

- Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determine the Starting Sample Size for Progressive Sampling.

- Jochen Hipp, Ulrich Güntzer, Udo Grimmer:
Data Quality Mining - Making a Virute of Necessity.

- David B. Skalak:
Speed-up Mining or "Why is Data Mining Iterative?".

- Qin Ding, William Perrizo, Qiang Ding, Amalendu Roy:
On Mining Satellite and other Remotely Sensed Images.

- Pedro Domingos, Geoff Hulten:
Catching up with the Data: Research Issues in Mining Data Streams.

- George Kollios, Stan Sclaroff, Margrit Betke:
Motion Mining: Discovering Spatio-Temporal Patterns in Databases of Human Motion.

- Xiong Wang:
Mining Protein Surfaces.

Last update Sun May 26 01:47:14 2013
CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page