Using Data Mining to Enhance Automated Planning and Scheduling

@inproceedings{citeulike:2175777, abstract = {Automated planning is a combinatorial problem that is important to many NASA endeavors, including ground operations and control applications for unmanned and manned space flight. There is significant value to integrating planning and data mining to create better planners. We describe current work in this area, covering uses of data mining to speed up planners, improve the quality of plans returned by planners, and learn domain models for automated planners. The central contribution of this paper is a snap shot of the state of the art in integrating these technologies and a summary of challenges and open research issues}, author = {Frank, J. }, booktitle = {Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on}, citeulike-article-id = {2175777}, journal = {Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on}, keywords = {citation}, pages = {251--260}, posted-at = {2007-12-27 21:04:37}, priority = {3}, title = {Using Data Mining to Enhance Automated Planning and Scheduling}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4221305}, year = {2007} }

TY - CONF ID - citeulike:2175777 L3 - citeulike-article-id:2175777 TI - Using Data Mining to Enhance Automated Planning and Scheduling T2 - Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on JF - Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on SP - 251 EP - 260 N2 - Automated planning is a combinatorial problem that is important to many NASA endeavors, including ground operations and control applications for unmanned and manned space flight. There is significant value to integrating planning and data mining to create better planners. We describe current work in this area, covering uses of data mining to speed up planners, improve the quality of plans returned by planners, and learn domain models for automated planners. The central contribution of this paper is a snap shot of the state of the art in integrating these technologies and a summary of challenges and open research issues KW - citation AU - Frank, J PY - 2007/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4221305 ER -