Posts Tagged ‘ data mining ’

sklearn DecisionTree plot example needs pydotplus

April 26, 2015
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In Python, sklearn (scikit-learn)'s DecisionTree example uses pydot for plotting the generated tree: @here.But for Python 3, pydot has some issues with the string from dot_data.getvalue(), for example it will report "TypeError: startswith first arg mus...

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AusDM 2015 submission deadline extended to Thursday 30 April

April 20, 2015
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AusDM 2015 submission deadline extended to Thursday 30 April

The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8–9 August 2015 (co-located with SIGKDD’15) URL: http://ausdm15.ausdm.org/ The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It … Continue reading →

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Seminar of IAPA Canberra Chapter: Big Data in the Social Sciences, Wednesday 29 April

April 20, 2015
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Seminar of IAPA Canberra Chapter: Big Data in the Social Sciences, Wednesday 29 April

Date: Wednesday 29 April Time: 5.45pm for a 6pm start Cost: Nil Where: SAS Offices, 12 Moore Street, Canberra, ACT 2600 RSVP link: http://www.iapa.org.au/Event/ACTChapterEvent29AprilBigDataInSocialSciences Join us for our next ACT Chapter Event on the 29th of April. We have guest … Continue reading →

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Hadoop and Neo4j

February 23, 2015
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Hadoop and Neo4j

Hadoop is being widely used for processing big data and Neo4j is a popular open-source graph database. When doing social network analysis on big data, a “natural” thought is to use them together. Unfortunately, Neo4j cannot work directly on HDFS … Continue reading →

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CFP: 13th Australasian Data Mining Conference (AusDM 2015)

February 9, 2015
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CFP: 13th Australasian Data Mining Conference (AusDM 2015)

The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8-9 August 2015 co-located with SIGKDD’15 URL: http://ausdm15.ausdm.org/ Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891 The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and … Continue reading →

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UIUC free online courses on data mining starting on 9 Feb, lectured by Prof. Jiawei Han et al.

February 8, 2015
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UIUC free online courses on data mining starting on 9 Feb, lectured by Prof. Jiawei Han et al.

by Yanchang Zhao, RDataMining.com A series of free online data mining courses will start on 9 Feb 2015, lectured by Prof. Jiawei Han and several other staff at UIUC. Prof. Han is one of the top data mining researchers around … Continue reading →

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Free online data mining and machine learning courses by Stanford University

February 5, 2015
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Free online data mining and machine learning courses by Stanford University

by Yanchang Zhao, RDataMining.com Three free online data mining and machine learning courses lectured by professors at Stanford University started in past two weeks, which provide excellent opportunities to learn advanced data mining and machine learning techniques. If you are … Continue reading →

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Canberra IAPA Seminar – Text Analytics: Natural Language into Big Data – 17 February

February 3, 2015
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Canberra IAPA Seminar – Text Analytics: Natural Language into Big Data – 17 February

Topic: Text Analytics: Natural Language into Big Data Speaker: Dr. Leif Hanlen, Technology Director at NICTA Date: Tuesday 17 February Time: 5.30pm for a 6pm start Cost: Nil Where: SAS Offices, 12 Moore Street, Canberra, ACT 2600 Registration URL: http://www.iapa.org.au/Event/TextAnalyticsNaturalLanguageIntoBigData … Continue reading →

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R: Canonical Correlation Analysis on Imaging

January 5, 2015
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R: Canonical Correlation Analysis on Imaging

In imaging, we deal with multivariate data, like in array form with several spectral bands. And trying to come up with interpretation across correlations of its dimensions is very challenging, if not impossible. For example let's recall the number of s...

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R: Principal Component Analysis on Imaging

December 25, 2014
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R: Principal Component Analysis on Imaging

Ever wonder what's the mathematics behind face recognition on most gadgets like digital camera and smartphones? Well for most part it has something to do with statistics. One statistical tool that is capable of doing such feature is the Principal Compo...

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