The data was collected as part of the 1990 census. There are 68 categorical attributes. This data set was derived from the USCensus1990raw data set. The…
clustering, multivariateThis data set contains weighted census data extracted from the 1994 and 1995 Current Population Surveys conducted by the U.S. Census Bureau. The data cont…
classification, multivariateInformation about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was …
description, multivariate, regressionThe original source for this data set is the IPUMS project (RugglesSobek, 1997). The IPUMS project is a large collection of federal census data which has …
multivariateMany variables are included so that algorithms that select or learn weights for attributes could be tested. However, clearly unrelated attributes were n…
multivariate, regressionThe source datasets needed to be combined via programming. Many variables are included so that algorithms that select or learn weights for attributes coul…
multivariate, regressionDocuments are first obtained via a Web search using AMIEI: an integrated platform for delivering enterprise intelligence, developed by AMI Software ([Web …
clustering, multivariate, sequential, textBike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Thro…
regression, univariate--- By using a tweet crawler, we collect 2000 labelled tweets (1000 positive tweets and 1000 negative ones) on various topics such as: politics an…
classification, textThis data originates from blog posts. The raw HTML-documents of the blog posts were crawled and processed. The prediction task associated with the data …
multivariate, regression