Top 10 Data Mining Algorithm Resources 2013

Below are Top 10 search results based on keyword “Algorithms” using our customized data mining search engine powered by Google CSE:

The Two Most Important Algorithms in Predictive Modeling Today …
strataconf.com/strata2012/public/schedule/detail/22658

@Kaggle
Wouldn’t it be great if there were just use two algorithms which could handle most of your predictive modeling needs? It turns out that actually this is the case.
Why More Data and Simple Algorithms Beat Complex Analytics …
data-informed.com/why-more-data-and-simple-algorithms-beat-complex- analytics-models/

Aug 7, 2013 … More data and simple algorithms are better than complex analytics models because having more data allows the “data to speak for itself,” …
On Algorithm Wars and Predictive Apps – Datanami
www.datanami.com/…/on_algorithm_wars_and_predictive_apps.html

May 15, 2013 … Predictive apps are going to be one the next major disruptions in technology as enterprises begin to take advantage of the combined power of …
rxDTree(): a new type of tree algorithm for big data
blog.revolutionanalytics.com/…/rxdtree-a-new-type-of-tree-algorithm.html
Jul 11, 2013 … by Joseph Rickert The rxDTree() function included in the RevoScaleR package distributed with Revolution R Enterprise is an an example of a …
Data Mining with an Ant Colony Optimization Algorithm – SCI2S
sci2s.ugr.es/keel/pdf/algorithm/articulo/Ant-IEEE-TEC.pdf
File Format: PDF/Adobe Acrobat
Abstract – This work proposes an algorithm for data mining called Ant-Miner (Ant … with CN2, a well-known data mining algorithm for classification, in six public …
Big Graph Mining: Algorithms and Discoveries
www.kdd.org/sites/default/files/issues/14-2…/V14-02-04-Kang.pdf

File Format: PDF/Adobe Acrobat
primitive that Pegasus uses for its algorithms to analyze structures of large … tributed algorithm, and it handles all the details of data dis- tribution, replication …
StreamKM++: A Clustering Algorithm for Data Streams∗
https://www.siam.org/proceedings/…/alx10_016_ackermannm.pdf
File Format: PDF/Adobe Acrobat
We develop a new k-means clustering algorithm for data streams, which we … the problem on the sample using the k-means++ algorithm. [1]. To compute the …
A Good Business Objective Beats a Good Algorithm « Predictive …
www.predictiveanalyticsworld.com/…/a-good-business-objective-beats-a- good-algorithm/
Nov 5, 2013 … Predictive Modeling competitions, once the arena for a few data mining conferences, has now become big business. Kaggle (kaggle.com) is …
A novel evolutionary data mining algorithm with applications to …
sci2s.ugr.es/keel/pdf/algorithm/articulo/DMEL.pdf

File Format: PDF/Adobe Acrobat
Many algorithms have been developed to mine large data sets for classification models … propose a new algorithm, called data mining by evolutionary learning …
Random Forests Algorithm – Data Science Central
www.datasciencecentral.com/xn/…/6448529%3ABlogPost%3A106993

Sep 24, 2013 … One of the most popular methods or frameworks used by data scientists at the Rose Data Science Professional Practice Group is Random …

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