31.txt

This complete matlab for neural network

发信人: mining (key), 信区: DataMining
标  题: UCI data set description(4)
发信站: 南京大学小百合站 (Tue Apr 29 13:49:49 2003)

Dermatology Database
Documentation: On everything
The aim is to determine the type of Eryhemato-Squamous Disease.
6 classes
366 examples
34 attributes, 1 nominal
Some missing attribute values
Ftp Access
Diabetes Data
From AIM '94
Non-Uniform Data format
Time dependencies
Ftp Access
The Second Data Generation Program - DGP/2
Generates instances around peaks and allows for specification of the mean an
d standard deviations in the normally distributed data
Generates application domains based on specific parameters: number of featur
es, and proportion of positive to negative examples
Allows for variations in the number of instances, the range of feature value
s, the number of peaks, the percent of positive instances desired and a radi
us around the peaks that these instances fall within
Ftp Access
Document Understanding Database
Donated by Donato Malerba
Five concepts, expressed as predicates, to be learned
mulptiple predicate learning problem
see .info file for more information
Ftp Access
EBL Domain Theories and Examples
cup
deductive.assumable (contains three domain theories)
emotion
ice
pople
safe-to-stack
suicide
Ftp Access
Echocardiogram Database
From Reed Institute, Miami
Documentation: sufficient
13 numeric-valued attributes
Binary classification: patient either alive or dead after survival period
Ftp Access
Ecoli Database
Donated by Paul Horton (see also: yeast database)
Predicting the Cellular Localization Sites of Proteins
Documentation: On everything
336 instances, 8 attributes (one nominal)
No missing attribute values
Ftp Access
Flags Database
From Collins Gem Guide to Flags, 1986
194 instances, mixed numeric- and nominal-valued attributes
donated by Richard S. Forsyth, creator of PC/BEAGLE
Ftp Access
Function Finding Databases
Donated by Cullen Schafer
352 Studies in Function-Finding
Collected mostly from investigations in physical science
Intention: Evaluation of function-finding algorithms
Ftp Access
Glass Identification Database
From USA Forensic Science Service
Documentation: completed
6 types of glass
Defined in terms of their oxide content (i.e. Na, Fe, K, etc)
All attributes are numeric-valued
Ftp Access
Haberman's Survival Data
Donar: Tjen-Sien Lim ([e-mail])
The dataset contains cases from a study that was conducted between 1958 and 
1970 at the University of Chicago's Billings Hospital on the survival of pat
ients who had undergone surgery for breast cancer.
Ftp Access
Hayes-Roth Database
Described in their 1977 paper
Topic: human subjects study
Ftp Access
Heart Disease Databases
Documentation: extensive
4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach
13 of the 75 attributes were used for prediction in 2 separate tests, each o
f which achieved approximately 75%-80% classification accuracy
The chosen 13 attributes are all continuously valued
Includes cost data (donated by Peter Turney)
Ftp Access
Hepatitis Database
From G.Gong: CMU
Documentation: incomplete
155 instances with 20 attributes each; 2 classes
Mostly Boolean or numeric-valued attribute types
Includes cost data (donated by Peter Turney)
Ftp Access
Horse Colic Database
From Mary McLeish & Matt Cecile
Well documented attributes
368 instances with 28 attributes (continuous, discrete, and nominal)
30% missing values
Ftp Access
Housing Database (Boston)
From CMU StatLib Library
concerns housing prices in suburbs of Boston
Continuously valued class attribute (MEDV)
506 instances, 12 continuous, 1 binary attributes
Ftp Access
ICU Data
From Serdar Uckun (AIM '94)
Deals with ICU treatment of patients with Adult respiratory distress syndrom
e (ARDS)
Complex dataset (see documentation)
Ftp Access
Image segmentation Database
Donated by Carla Brodley
Documentation status: Skimpy
Not previously used in the ml literature as of 8/1991
Image data described by high-level numeric-valued attributes, 7 classes
Ftp Access
Internet Advertisements
From Nicholas Kushmerick ([e-mail])
This dataset represents a set of possible advertisements on Internet pages. 
The features encode the geometry of the image (if available) as well as phra
ses occuring in the URL, the image's URL and alt text, the anchor text, and 
words occuring near the anchor text. The task is to predict whether an image
 is an advertisement ("ad") or not ("nonad").
Number of Instances: 3279 (2821 nonads, 458 ads)
Number of Attributes: 1558 (3 continous; others binary)
Ftp Access
Ionosphere Database
From V. Sigillito
Documentation Complete
2 classes, 351 instances, 34 numeric attributes, no missing values
Classification of radar returns from the ionosphere
Ftp Access

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