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Pittsburgh Bridges Data Set
Download: Data Folder, Data Set Description

Abstract: Bridges database that has original and numeric-discretized datasets

Data Set Characteristics:  

Multivariate

Number of Instances:

108

Area:

N/A

Attribute Characteristics:

Categorical, Integer

Number of Attributes:

13

Date Donated

1990-08-01

Associated Tasks:

Classification

Missing Values?

Yes

Number of Web Hits:

126235


Source:

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)


Data Set Information:

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


[1] Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info

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