Exploratory attributes search for time-series data: An experimental system for agricultural application

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1510, Issue , 1998, Pages 388-395

  Matsumoto, Kazunori ^a  

^a TOSHIBA CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; DATA MINING; DATABASE SYSTEMS;

ATTRIBUTE SELECTION; CANDIDATE SETS; EXPERIMENTAL SYSTEM; EXPLORATORY SEARCH; INTEGRATED DATABASE; SEARCHING SPACES; TIME-SERIES DATA; WEATHER PATTERNS;

SEARCH ENGINES;

EID: 52849088437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0094842     Document Type: Conference Paper

References (8)

1. M.S. Chen, J. Han, and P.S. Yu, Data Mining: An Overview from a Database Perspective, IEEE Trans. on Knowledge and Data Engineering, Vol.8, No.6, 1996.
2. R. Kimball, The Data Warehouse Toolkit, John wiley & Sons, 1996
3. K. Kira, and L.A. Rendell, The Feature Selection Problem: Traditional Methods and a New Algorithm, Proc. of The Ninth National Conf. on AI, 1992.
4. R. Kohavi and D. Sommerfield, Feature Subset Selection using the Wrapper Model: Overfitting and Dynamic Search Space Topology, First Int. Conf. on KDD, 1995.
5. H. Liu, and R. Setiono, A Probabilistic Approach to Feature Selection-A Filter Solution, Proc. of The Thirteenth Int. Conf. on ML, 1996.
6. J.R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
7. R.B. Rat et.al, Data Mining of Subjective Agricultural Data, Proc. of the Tenth Int. Conf. Machine Learning, 1993.
8. J.F. Ullman, Principles of Database Systems, Computer Science Press, 1982.