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UCI KDD Archive

Welcome to the UCI Knowledge Discovery in Databases Archive. Librarian's note [July 25, 2009]: We no longer maintaining this web page as we have merged the KDD Archive with the UCI Machine Learning Archive. For any questions, please contact us at ml-repository '@' ics.uci.edu. This is an online repository of large data sets. Which typically focuses on smaller classification-oriented data sets. Lists typical data types and tasks of interest. By using this repository. This will help others to obtain th...

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UCI KDD Archive | kdd.ics.uci.edu Reviews
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Welcome to the UCI Knowledge Discovery in Databases Archive. Librarian's note [July 25, 2009]: We no longer maintaining this web page as we have merged the KDD Archive with the UCI Machine Learning Archive. For any questions, please contact us at ml-repository '@' ics.uci.edu. This is an online repository of large data sets. Which typically focuses on smaller classification-oriented data sets. Lists typical data types and tasks of interest. By using this repository. This will help others to obtain th...
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1 contents
2 data sets
3 task files
4 by data type
5 by application area
6 by name
7 by date
8 reverse chronological
9 machine learning repository
10 by task type
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UCI KDD Archive | kdd.ics.uci.edu Reviews

https://kdd.ics.uci.edu

Welcome to the UCI Knowledge Discovery in Databases Archive. Librarian's note [July 25, 2009]: We no longer maintaining this web page as we have merged the KDD Archive with the UCI Machine Learning Archive. For any questions, please contact us at ml-repository '@' ics.uci.edu. This is an online repository of large data sets. Which typically focuses on smaller classification-oriented data sets. Lists typical data types and tasks of interest. By using this repository. This will help others to obtain th...

INTERNAL PAGES

kdd.ics.uci.edu kdd.ics.uci.edu
1

UCI KDD Archive Call for Datasets

http://kdd.ics.uci.edu/cfd.html

The UC Irvine Knowledge Discovery in Databases (KDD) Archive is a new online repository of large data sets which encompasses a wide variety of data types, analysis tasks, and application areas. The primary role of this repository is to enable researchers in knowledge discovery and data mining to scale existing and future data analysis algorithms to very large and complex data sets. Which typically focuses on smaller classification-oriented data sets. Submission Guidelines: Please see the UCI KDD Archive.

2

Summary of Task Files by Date

http://kdd.ics.uci.edu/summary.task.date.html

Summary of Task Files by Date. Task files are listed in reverse chronological order of donation. The Insurance Company Benchmark (COIL 2000). Synthetic Control Chart Time Series. Microsoft Anonymous Web Data. Syskill Webert Web Data. The UCI KDD Archive. Information and Computer Science. University of California, Irvine. Irvine, CA 92697-3425. Last modified: July 5, 1999.

3

Summary of Task Files by Application Area

http://kdd.ics.uci.edu/summary.task.application.html

Summary of Task Files by Application Area. Synthetic Control Chart Time Series. Microsoft Anonymous Web Data. Syskill Webert Web Data. The UCI KDD Archive. Information and Computer Science. University of California, Irvine. Irvine, CA 92697-3425. Last modified: July 5, 1999.

4

Summary of Data Sets by Data Type

http://kdd.ics.uci.edu/summary.data.type.html

Summary of Data Sets by Data Type. Data sets are placed in the relevant categories which are not mutually exclusive. Entree Chicago Recommendation Data. The Insurance Company Benchmark (COIL 2000). KDD CUP 1998 Data. KDD CUP 1999 Data. 1990 US Census Data. Reuters-21578 Text Categorization Collection. NSF Research Awards Abstracts 1990-2003. Australian Sign Language Data. High-quality Australian Sign Language Data. Pioneer-1 Mobile Robot Data. Pseudo Periodic Synthetic Time Series. Syskill Webert Web Data.

5

Summary of Data Sets by Name

http://kdd.ics.uci.edu/summary.data.alphabetical.html

Summary of Data Sets by Name. Australian Sign Language Data. High-quality Australian Sign Language Data. 1990 US Census Data. Entree Chicago Recommendation Data. The Insurance Company Benchmark (COIL 2000). KDD CUP 1998 Data. KDD CUP 1999 Data. Microsoft Anonymous Web Data. MSNBC Anonymous Web Data. NSF Research Awards Abstracts 1990-2003. Pioneer-1 Mobile Robot Data. Pseudo Periodic Synthetic Time Series. Reuters-21578 Text Categorization Collection. Synthetic Control Chart Time Series.

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LINKS TO THIS WEBSITE

kevinchai.net kevinchai.net

Datasets | Kevin Chai's Homepage

http://kevinchai.net/datasets

Kevin Chai's Homepage. I have come across many datasets in my research and thought I’d share my list with everyone. Feel free to contact me if you want your dataset(s) added to this page. Blog articles which provide dataset directories. 8211; excellent article listing available data sets in the area of machine learning and inference. Http:/ www.datawrangling.com/some-datasets-available-on-the-web.html. Http:/ www.daniel-lemire.com/blog/data-for-data-mining/. 8211; Article describing 100 datasets. Http:/ ...

mlearn.ics.uci.edu mlearn.ics.uci.edu

UCI Machine Learning Repository

http://mlearn.ics.uci.edu/MLRepository.html

Welcome to the UCI Machine Learning Repository! We have re-designed our web site to enable better searching of data sets. You can take a look at the new site here. We would appreciate any feedback that you may have regarding this new site (send emails to ml-repository '@' ics.uci.edu). This is a repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. HTTP Access to archive. The UCI KDD Archive.

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Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis.

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Features | Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis | DataPreparator Software

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Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Equal frequency from grouped data.

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Downloads | Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis | DataPreparator Software

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Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis. DataPreparator is written in Java and requires Java Runtime Environment (JRE) to be installed on your computer. You need JRE 1.6 or later. If you don't have appropriate version of JRE installed, you can download it from http:/ www.java.com. JRE 16 Memory: 1G or more Disk Space: 20M. Operating System: Windows, Linux, Mac OS/X. DataPreparator 1.7 - Windows. DataPreparator 1.7 - Mac OS/X. Download using Java Web Start.

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What can DataPreparator be used for? | Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis | DataPreparator Software

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Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis. What can DataPreparator be used for? Data cleaning facilities include character removal, text replacement, and date conversion. DataPreparator can be used to import data from a database and export them to a file and vice versa. Can be used to combine data from different data sources. Data reduction can be achieved using sampling and record selection.

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About Us | Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis | DataPreparator Software

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Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis. DataPreparator is offered in the hope that it may help with data exploration and preparation.

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What is Data Preparation? | Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis | DataPreparator Software

http://www.datapreparator.com/what_is_data_preparation.html

Tool for Data Preparation, Preprocessing and Exploration for Data Mining and Data Analysis. What is Data Preparation? Data preparation is essential for successful data mining. Poor quality data typically result in incorrect and unreliable data mining results. Data preparation improves the quality of data and consequently helps improve the quality of data mining results. The well known saying garbage-in garbage-out is very relevant to this domain.

dmr.cs.umn.edu dmr.cs.umn.edu

Data Analysis and Management Research Group

http://dmr.cs.umn.edu/datasets.html

Return to: DMR Home. U of M Home. Search U of M. 1 UCI ML - http:/ www.ics.uci.edu/ mlearn/MLSummary.html. More information on UCI ML DATA SETS - http:/ haydut.cmpe.boun.edu.tr/datasets.htm. 2 UCI KDD - http:/ kdd.ics.uci.edu/. 3 StatLog - http:/ www.liacc.up.pt/ML/statlog/. 4 Financial datasets at OSU - http:/ fisher.osu.edu/fin/osudata.htm. 5 KDNuggets - http:/ www.kdnuggets.com/datasets/. 6 S a oo - http:/ www.statoo.com/en/resources/anthill/Datamining/Data/. I) UCI ML - ftp:/ ftp.ics.uci....Processed...

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UCI KDD Archive

Welcome to the UCI Knowledge Discovery in Databases Archive. Librarian's note [July 25, 2009]: We no longer maintaining this web page as we have merged the KDD Archive with the UCI Machine Learning Archive. For any questions, please contact us at ml-repository '@' ics.uci.edu. This is an online repository of large data sets. Which typically focuses on smaller classification-oriented data sets. Lists typical data types and tasks of interest. By using this repository. This will help others to obtain th...

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