RapidMiner Community Meeting And Conference – RCOMM 2010

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By Volkan TUNALI, July 18, 2010 1:54 am

RapidMinerRapid-I hosts the first RapidMiner Community Meeting And Conference (RCOMM 2010) and invites users and developers of RapidMiner to take part and share their RapidMiner experiences with other members of the community.

Important Dates

Submission Deadline: August 6, 2010
Notification of Acceptance: August 13, 2010
Camera-ready Papers: August 20, 2010
Conference: September 13 – 16, 2010

Location

University of Dortmund, Germany

More Info & Registration

You can visit the conference home page.

Cluto vs. Gmeans – An Empirical Comparison

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By Volkan TUNALI, July 16, 2010 5:55 pm

Text MiningLast month I attended 1st International Symposium on Computing in Science and Engineering, held by Gediz University in Kusadasi, Turkey, with a paper and a presentation.

My topic was “An empirical comparison of fast and efficient tools for mining textual data“. In this paper we evaluate and compare two state-of-the-art data mining tools for clustering high-dimensional text data, Cluto and Gmeans.

The abstract of the paper is below:

In order to effectively manage and retrieve the information comprised in vast amount of text documents, powerful text mining tools and techniques are essential. In this paper we evaluate and compare two state-of-the-art data mining tools for clustering high-dimensional text data, Cluto and Gmeans. Several experiments were conducted on three benchmark datasets, and results are analysed in terms of clustering quality, memory and CPU time consumption. We empirically show that Gmeans offers high scalability by sacrificing clustering quality while Cluto presents better clustering quality at the expense of memory and CPU time.

Keywords: text mining, document clustering, spherical k-means, bisecting k-means

About Cluto

Written in ANSI C by George Karypis, CLUTO (CLUstering TOolkit) is a software package for clustering low- and high-dimensional datasets and for analyzing the characteristics of the various clusters.

Cluto contains partitional, agglomerative, and graph-partitioning based clustering algorithms. Bisecting k-means is the default option from the partitional class of algorithms, which is under consideration of the paper. In addition, Cluto offers multiple distance (similarity) functions like cosine, euclidean, correlation coefficient, extended Jaccard, where cosine is the default option. Cluto also has an option to select one of several clustering criterion functions from four categories: internal, external, hybrid, and graph-based.

About Gmeans

Gmeans is a C++ program for clustering, developed by Yuqiang Guan as part of his PhD thesis. The program employs four different k-means type clustering algorithms with four different distance (similarity) measures: cosine, euclidean, diametric distance, and Kullback-Leibler divergence, where cosine is the default similarity measure applied for spherical k-means, with each document vector to be (L2) normalised. Moreover, a local search strategy to overcome the local optima problem, called first variation, is also included. The program generates one-way, hard-clustering of a given dataset.

Download the Paper

If you are interested in the details of this comparison such as datasets used and experiments performed, you can freely download the paper here (.pdf inside .rar archive 281K).

View the Presentation

KNIME – Open Source Data Mining Software

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By Volkan TUNALI, July 13, 2010 1:50 pm

KNIMEKNIME is my favorite visual data mining tool with easy-to-use and intuitive data flow user interface and powerful data mining elements. If you are looking for a well-designed and effective open source data mining software, KNIME is a perfect-fit.

Developed by the Chair for Bioinformatics and Information Mining at the University of Konstanz, Germany, KNIME is a modular visual data exploration platform that offers hundreds of processing elements for data I/O, preprocessing and cleansing, modeling, analysis, data mining, and viewing.

Based on the Eclipse platform, KNIME is built with Java, so it works on Windows, Linux and MacOSX environments.

You can find more information about KNIME here, and you can download it here.

The following are two sample screenshots from KNIME.

KNIME Screenshot

KNIME Screenshot

Quote of the day from Gauss

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By Volkan TUNALI, July 11, 2010 12:18 am
Carl Friedrich Gauss
Here comes the quote of the day from famous German mathematician Carl Friedrich Gauss (or Gauß).

I have had my results for a long time: but I do not yet know how I am to arrive at them.

KDD 2010: 16th ACM SIGKDD Conference on Knowledge Discovery and DM

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By Volkan TUNALI, July 1, 2010 1:50 pm

KDD LogoKDD-2010 will run between from July 25-28 in Washington, DC and will feature hundreds of practitioners and academic data miners converging on the one location.

The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-2010 will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.

For more information you can visit the conference web site.

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