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Data mining
Results: 7407

#	Item
441	Graph Summarization in Annotated Data Using Probabilistic Soft Logic Alex Memory1 , Angelika Kimmig1,2 , Stephen H. Bach1 , Louiqa Raschid1 and Lise Getoor1 1 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:53 Graph theory Graph Data mining Computational linguistics
442	Patterns and Sequences: Interactive Exploration of Clickstreams to Understand Common Visitor Paths Zhicheng Liu, Yang Wang, Mira Dontcheva, Matthew Hoffman, Seth Walker and Alan Wilson Fig. 1: Interface design for intera Add to Reading List Source URL: www.zcliu.org Language: English - Date: 2016-07-30 20:23:04 Bioinformatics Data mining Sequential pattern mining Clickstream Pattern Sequence analysis Sequence Text mining Protein domain
443	Assessing Data Mining Results via Swap Randomization Aristides Gionis Heikki Mannila Taneli Mielikainen Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2006-06-19 10:07:06 Graph theory Data management Data mining Monte Carlo methods Markov chain Association rule learning K-means clustering Graph Resampling Synthetic data
444	I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Recommender systems Data mining Collaborative filtering Collaborative software Collective intelligence Social information processing Cluster analysis SimRank Word embedding
445	ML 2016 Student Contest description You are provided with a Learning Dataset describing the matches of a game. For every year, you are provided with the descriptions of (nearly all, but not all) matches, with the ID of t Add to Reading List Source URL: twiki.di.uniroma1.it Language: English - Date: 2016-03-23 11:46:34 Cybernetics Learning Machine learning Data mining Statistical classification
446	RapidMiner Basics Part 2 RapidMiner Basics Part 2 Course Overview RapidMiner Basics Part 2 is a two day course focusing on data mining and predictive analytics with RapidMiner Add to Reading List Source URL: 1xltkxylmzx3z8gd647akcdvov-wpengine.netdna-ssl.com Language: English - Date: 2016-07-08 15:11:45 Image processing Neurobiology RapidMiner Data mining Predictive analytics Data science K-means clustering Scientific modelling Big data
447	Microsoft Word - laubePurves_CEUS06_preVersion.doc Add to Reading List Source URL: www.geo.uzh.ch Language: English - Date: 2009-11-21 11:09:37 Formal sciences Data mining Monte Carlo method Pattern recognition Synthetic data Simulation
448	Exploring Big Data in Social Networks () INWEB – National Science and Technology Institute for Web Federal University of Minas Gerais - UFMG Add to Reading List Source URL: wic.litislab.fr Language: English - Date: 2013-12-09 08:25:59 Formal sciences Big data Cloud computing Data mining Machine learning Algorithm Analytics Network and service management taxonomy Industrial Big Data
449	Comparison of Human and AI Bots in StarCraft with Replay Data Mining Ho-Chul Cho Kyung-Joong Kim* Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Windows games Blizzard games Multiplayer online games Video games with isometric graphics StarCraft Video game bot Real-time strategy Internet bot Artificial intelligence Fog of war Prediction
450	A Catalog of Patterns for Concept Lattice Interpretation in Software Reengineering Muhammad U.Bhatti∗ , Nicolas Anquetil∗ , Marianne Huchard† , and St´ephane Ducasse∗ ∗ RMoD Project-Team INRIA - Lille Nord Eu Add to Reading List Source URL: rmod.inria.fr Language: English - Date: 2015-11-03 10:16:25 Lattice theory Lie groups Data mining Formal concept analysis Machine learning Ontology Complete lattice Lattice Object-oriented programming Algebraic structure Software design pattern Object Process Methodology

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