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 Unpublished Manuscript.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)