This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

Source URL: culturalheritage.calit2.net

• Data management
• Computing
• Humanities
• Knowledge
• Geographic information system
• Database
• Survey
• Archaeology
• Information system
• Data-intensive computing
• Big data
• Examples of data mining

FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering

Source URL: www.trendminer-project.eu

• Statistical natural language processing
• Machine learning
• Statistics
• Artificial intelligence
• Topic model
• Latent Dirichlet allocation
• Gibbs sampling
• Multinomial logistic regression
• Dynamic topic model
• Dirichlet-multinomial distribution

New Features for 2015 New Features for Release 2015 The 2015 release of ICDD databases boasts an impressive array of new features. This tutorial will show these new features using ICDD’s own data

Source URL: www.icdd.com

• CODEN
• Identifiers
• Library science
• Data mining

Interactive Redescription Mining ∗ Esther Galbrun Pauli Miettinen

Source URL: people.mpi-inf.mpg.de

• Visualization
• Infographics
• Computing
• Information
• Data management
• Data
• Data visualization
• Information technology governance
• Data analysis
• Data mining
• Moose
• Siren

Data Quality in Agriculture Applications Joana E. Gonzales Malaverri and Claudia Bauzer Medeiros IC - UNICAMP Outline

Source URL: www.geoinfo.info

• Information technology
• Information technology management
• Information
• Knowledge
• Data quality
• Information science
• Data management
• Data mining
• Database
• Business process modeling
• Information system
• Data analysis

IT Strategie Data mining a retence zákazníků ve finančních institucích

Source URL: www.statsoft.cz

Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications

Source URL: users.ics.aalto.fi

• Statistics
• Machine learning
• Learning
• Artificial intelligence
• Statistical classification
• Data mining
• Concept drift
• Massive Online Analysis
• K-nearest neighbors algorithm
• Support vector machine
• Stochastic gradient descent
• Batch processing

JUSP USE CASE Understanding your usage in a broader context It’s useful to view your institution’s usage in JUSP, but many institutions want to understand what that usage means in a broader context. How does your usa

Source URL: jusp.mimas.ac.uk

• Data mining
• Identity
• Identity management
• Profiling
• Jisc
• Computing
• Information technology
• Education

Microsoft Word - BI in EL _Final_.docx

Source URL: people.cs.pitt.edu

• Education
• Software
• Learning
• Data management
• Educational software
• Learning management systems
• Moodle
• Educational data mining
• Educational technology
• Virtual learning environment
• Data warehouse
• Online analytical processing

Structure in Text: Extraction and Exploitation Prabhakar Raghavan ©2002 Verity, Inc.

Source URL: webdb2004.cs.columbia.edu

• Natural language processing
• Information science
• Data mining
• Artificial intelligence
• Information retrieval
• Text mining
• Computing