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New directions for mahout
Technology New directions for mahout

1. 1©MapR Technologies - Confidential New Directions in Mahout 2. 2©MapR Technologies - Confidential Cut Out Bloat 3. 3©MapR Technologies - Confidential 4. 4©MapR Technologies…

Graphlab Ted Dunning Clustering
Technology Graphlab Ted Dunning Clustering

1. 1©MapR Technologies - Confidential Large-scale Single-pass k-Means Clustering at Scale Ted Dunning 2. 2©MapR Technologies - Confidential Large-scale Single-pass k-Means…

London Data Science - Super-Fast Clustering Report
Technology London Data Science - Super-Fast Clustering Report

1. 1©MapR Technologies - Confidential Super-Fast Clustering Report from MapR workshop 2. 2©MapR Technologies - Confidential  For Book Discount: @ellen_friedman  Contact:…

ALGORITHMS AND APPLICATIONS Clustering (Chap 7). Introduction Clustering is an important data mining task. Clustering makes it possible to almost automatically.
Documents ALGORITHMS AND APPLICATIONS Clustering (Chap 7). Introduction Clustering is an important data mining...

Slide 1ALGORITHMS AND APPLICATIONS Clustering (Chap 7) Slide 2 Introduction Clustering is an important data mining task. Clustering makes it possible to almost automatically…

From W1-S16. Node failure The probability that at least one node failing is: f= 1 – (1-p) n When n =1; then f =p Suppose p=0.0001 but n=10000, then: f.
Documents From W1-S16. Node failure The probability that at least one node failing is: f= 1 – (1-p) n When n...

Slide 1From W1-S16 Slide 2 Node failure The probability that at least one node failing is: f= 1 – (1-p) n When n =1; then f =p Suppose p=0.0001 but n=10000, then: f = 1…

Clustering Clustering of data is a method by which large sets of data is grouped into clusters of smaller sets of similar data. The example below demonstrates.
Documents Clustering Clustering of data is a method by which large sets of data is grouped into clusters of...

Slide 1Clustering Clustering of data is a method by which large sets of data is grouped into clusters of smaller sets of similar data. The example below demonstrates the…

BioInformatics (3). Computational Issues Data Warehousing: –Organising Biological Information into a Structured Entity (World’s Largest Distributed DB)
Documents BioInformatics (3). Computational Issues Data Warehousing: –Organising Biological Information into...

Slide 1BioInformatics (3) Slide 2 Computational Issues Data Warehousing: –Organising Biological Information into a Structured Entity (World’s Largest Distributed DB)…

07 2
Documents 07 2

1.Large-scale Data Mining:MapReduce and BeyondPart 2: Algorithms Spiros Papadimitriou, IBM ResearchJimeng Sun, IBM Research Rong Yan, Facebook2. Part 2:Mining using MapReduce…

Geodemographics: Open tools and mehtods
Education Geodemographics: Open tools and mehtods

1.Geodemographics: Open tools and methodsDr. Muhammad Adnan Department of Geography, University College London Web: http://www.uncertaintyofidentity.com Email: [email protected]…

Oscon data-2011-ted-dunning
Technology Oscon data-2011-ted-dunning

1. Hands-on Classification 2. Preliminaries• Code is available from github:– [email protected]:tdunning/Chapter-16.git• EC2 instances available• Thumb drives also available•…

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