Data Mining

Data mining blogs

Canberra Data Miners: Seminar on Text, Knowledge and Information Extraction, by Dr Lizhen Qu (NICTA), Canberra, 4:30-5:30pm, Tuesday 1 Sept

August 24, 2015
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Canberra Data Miners: Seminar on Text, Knowledge and Information Extraction, by Dr Lizhen Qu (NICTA), Canberra, 4:30-5:30pm, Tuesday 1 Sept

Topic: Text, Knowledge, and Information Extraction Speaker: Dr. Lizhen Qu, Researcher at NICTA Organizer: Canberra Data miners Meetup Group Date and time: 4:30-5:30pm, Tuesday 1 Sept Location: Teal Room of Inspire Centre, University of Canberra, Building 25, University of Canberra, … Continue reading →

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Slides of 10+ excellent tutorials at KDD 2015: Spark, graph mining and many more

August 17, 2015
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Slides of 10+ excellent tutorials at KDD 2015: Spark, graph mining and many more

by Yanchang Zhao RDataMining.com I attended the KDD 2015 conference in Sydney last week. At the conference, there were more than 10 tutorials and I went to two of them, which are 1) Graph-Based User Behavior Modeling: From Prediction to … Continue reading →

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www2.rdatamining.com: a mirror site of RDataMining.com for Chinese users

August 5, 2015
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www2.rdatamining.com: a mirror site of RDataMining.com for Chinese users

RDataMining.com now has a mirror website at http://www2.rdatamining.com. Users in China can download RDataMining documents, code and data at above mirror site, if no access to http://www.rdatamining.com. Note that RDataMining.com will still be the primary site and please visit www2.RDataMining.com … Continue reading →

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Call for participation: AusDM 2015, Sydney, 8-9 August

July 23, 2015
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Call for participation: AusDM 2015, Sydney, 8-9 August

************************************************************* The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8–9 August 2015 URL: http://ausdm15.ausdm.org/ ************************************************************* The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data … Continue reading →

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The 2015 Big Data Summit, 9-10 August 2015, collocated with ACM KDD 2015, Sydney

July 14, 2015
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The 2015 Big Data Summit, 9-10 August 2015, collocated with ACM KDD 2015, Sydney

The 2015 Big Data Summit 9-10 August 2015 collocated with ACM KDD 2015, Sydney URL: http://2015.bigdatasummit.co/ We take this privilege opportunity to invite you to participate in the 2015 Big Data Summit: • Co-located with ACM KDD2015 • Plenary sessions … Continue reading →

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Connecting Python to Postgres . . . An Arduous Task

May 31, 2015
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I've decided that I want to learn a bit more about Python.  So, I downloaded Python onto my Mac running OS 10.8.x and decided to connect it to my local Postgres database.  Several days later, I have succeeded! Along the way, I may have learne...

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R and Data Mining workshop at Deakin University

May 25, 2015
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R and Data Mining workshop at Deakin University

I will run a workshop on R and Data Mining for students in the Master of Business Analytics course at Deakin University in Melbourne on Thursday 28 May. The workshop will cover: – Introduction to Data Mining with R and … Continue reading →

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The Economist gets in on the AI Fluff

May 11, 2015
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The Economist gets in on the AI Fluff

The Economist leads with an editorial and an article on The Dawn of Artificial Intelligence. The editorial starts of with: “THE development of full artificial intelligence could spell the end of the human race,” Stephen Hawking warns. Elon Musk fears...

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Fast SQL moving average calculation without windowing functions

May 11, 2015
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Fast SQL moving average calculation without windowing functions

In this post, I show a trick to do moving average calculation (can be extended to other operations requiring windowing functions) that is super fast. Often, SAS analysts need to conduct moving average calculation and there are several options by the or...

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AI, Artificial Birds and Aeroplanes

May 9, 2015
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AI, Artificial Birds and Aeroplanes

The Turing Test for artificial intelligence is a reasonably well understood idea: if, through a written form of communication, a machine can convince a human that it too is a human, then it passes the test. The elegance of this...

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