匹兹堡桥数据集

There are two versions to the database: - V1 contains the original examples and - V2 contains descriptions after discretizing numeric properties. There are no ``classes'' in the domain. Rather this is a DESIGN domain where 5 properties (design description) need to be predicted based on 7 specification properties. Attribute Information: The type field state whether a property is continuous/integer (c) or nominal (n). For properties with c,n type, the range of continuous numbers is given first and the possible values of the nominal follow the semi-colon. Name / Type / Possible values / Comments 1. IDENTIF / -- / -- / identifier of the examples 2. RIVER / n / A, M, O / -- 3. LOCATION / n / 1 to 52 / -- 4. ERECTED / c,n / 1818-1986 ; CRAFTS, EMERGING, MATURE, MODERN / -- 5. PURPOSE / n / WALK, AQUEDUCT, RR, HIGHWAY / -- 6. LENGTH / c,n / 804-4558 ; SHORT, MEDIUM, LONG / -- 7. LANES / c,n / 1, 2, 4, 6 ; 1, 2, 4, 6 / -- 8. CLEAR-G / n / N, G / -- 9. T-OR-D / n / THROUGH, DECK / -- 10. MATERIAL / n / WOOD, IRON, STEEL / -- 11. SPAN / n / SHORT, MEDUIM, LONG / -- 12. REL-L / n / S, S-F, F / -- 13. TYPE / n / WOOD, SUSPEN, SIMPLE-T, ARCH, CANTILEV, CONT-T / -- Relevant Papers: Reich & Fenves (1989). Incremental Learning for Capturing Design Expertise. Technical Report: EDRC 12-34-89, Engineering Design Research Center, Carnegie Mellon University, Pittsburgh, PA. Reich (1989). Converging to ``Ideal'' Design Knowledge by Learning, Proceedings of the First International Workshop on Formal Methods in Engineering Design, pp: 330-349, Colorado Springs, CO, January 1990. [Web link] Reich (1989) Combining Nominal and Continuous Properties in an Incremental Learning System for Design. Technical Report: EDRC 12-33-89. Reich (1989) Incremental Concept Formation with Mixed Property Types. Unpublished Manuscript. Papers That Cite This Data Set1: Ljupco Todorovski and Saso Dzeroski. Experiments in meta-level Learning with ILP. PKDD. 1999. [View Context]. Paul D. Wilson and Tony R. Martinez. Combining Cross-Validation and Confidence to Measure Fitness. fonix corporation Brigham Young University. [View Context]. Citation Request: Please refer to the Machine Learning Repository's citation policy Creators: Yoram Reich & Steven J. Fenves Department of Civil Engineering and Engineering Design Research Center Carnegie Mellon University Pittsburgh, PA 15213 Compiled from various sources. Donor: Yoram Reich (yoram.reich '@' cs.cmu.edu)