Using multiple sources of agreement information for sentiment classification of political transcripts Clint Burfoot Department of Computer Science and Software Engineering University of Melbourne, VIC 3010, Australia c.b

Source URL: www.alta.asn.au

• Science
• Natural language processing
• Statistical classification
• Data mining
• Parts of speech
• Support vector machine
• Sentiment analysis
• Classifier
• Gain
• Machine learning
• Statistics
• Artificial intelligence

Department of Natural Resources and Mines Queensland Mines and Quarries Safety Performance and Health Report 1 July 2013–30 June 2014

Source URL: mines.industry.qld.gov.au

• Risk
• Safety engineering
• Management
• Occupational safety and health
• Employment compensation
• Mining
• Pike River Mine disaster
• Coal mining
• Traffic collision
• Safety
• Accidents
• Grey District

Queensland Mines and Quarries Safety Performance and Health Report Department of Employment, Economic Development and Innovation

Source URL: mines.industry.qld.gov.au

• Coal mining
• Mining
• Occupational safety and health
• Management
• Mine Safety and Health Administration
• Safety engineering
• Safety
• Risk

Combining Multiple Sources of Evidence in Web Information Extraction Martin Labsk´y and Vojtˇech Sv´atek Department of Information and Knowledge Engineering, University of Economics, Prague, W. Churchill Sq. 4, 130 67

Source URL: www.medieq.org

• Information science
• Ontology
• Knowledge
• Technical communication
• Knowledge representation
• Information extraction
• Wrapper
• Data mining
• Science
• Semantic Web
• Information

Visible Nearest Neighbor Queries Sarana Nutanong1 , Egemen Tanin1,2 , and Rui Zhang1 1 Department of Computer Science and Software Engineering, University of Melbourne, Victoria, Australia

Source URL: www.ruizhang.info

• Artificial intelligence
• Discrete geometry
• Data mining
• Information retrieval
• Nearest neighbor search
• K-nearest neighbor algorithm
• Computational geometry
• R-tree
• Priority queue
• Information science
• Search algorithms
• Mathematics

Department of Computer Science                                                    University of Bristol MSc in Machine Learning, Data Mining and High Perfo

Source URL: www.cs.bris.ac.uk

• Computer programming
• Cybernetics
• Formal sciences
• Markov models
• Learning
• Machine learning
• Programming language
• Algorithm
• Reinforcement learning
• Computing
• Cross-platform software
• Software engineering

Mining Operations Division Department of Minerals and Energy Mineral House, 100 Plain Street EAST PERTH WA 6004 Phone: + Fax: +

Source URL: www.dmp.wa.gov.au

• Petroleum engineering
• Petroleum geology
• Drilling rig
• Drill
• Stand
• Technology
• Oilfield terminology
• Petroleum

Health and Safety Executive Health & Safety at Work Etc Act[removed]Mines and Quarries Act[removed]Electricity at Work Regulations 1989 The Use of Electricity in Mines: Regulation 18

Source URL: www.hse.gov.uk

• Safety engineering
• Department for Work and Pensions
• Mine ventilation
• Underground mine ventilation
• Underground mining
• Health and Safety Executive
• Safety lamp
• Mine Safety and Health Administration
• Safety
• Mining
• Occupational safety and health

Resume of Zacharias Agioutantis Education Ph.D., Department of Mining and Minerals Engineering, Virginia Polytechnic Institute and State University, Blacksburg (Virginia Tech), VA, USA. The total QCA (Q

Source URL: www.mred.tuc.gr

SUBMISSION TO THE ECONOMIC DEVELOPMENT AND INFRASTRUCTURE COMMITTEE INQUIRY INTO GREENFIELDS MINERAL EXPLORATION AND PROJECT DEVELOPMENT IN VICTORIA Contact:

Source URL: www.parliament.vic.gov.au

• Mineral exploration
• Mining in Australia
• Mining engineering
• Mining
• Geology
• Hydrocarbon exploration
• Department of Primary Industries
• Science
• Newcrest Mining
• Economic geology
• Geochemistry
• Geophysics