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ADDM 2015 : 2nd Advances in Database and Data Mining

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Link: http://csen-scoop.org/addm/
 
When Nov 7, 2015 - Nov 8, 2015
Where Istanbul, Turkey
Submission Deadline TBD
Categories    database   data mining   cloud computing   engineering
 

Call For Papers

ADDM-2015 is one of the area focused international workshops for presenting novel ideas and advances in the area of Database and Data Mining organized by Scientific Cooperations. ADDM-2015 aims to increase the collaboration among researchers and practitioners with a common interest in Database and Data Mining through scientific and technological publications. ADDM-2015 will take place in Istanbul-TURKEY during November 7-8, 2015. The Scientific Cooperations society intends to accelerate the relations among researchers.

Important Dates
Full Paper Submission Due August 24, 2015
Acceptance Notification Due September 20, 2015
Registration Due October 5, 2015

All the accepted full papers are going to be published in the Proceedings booklet with an ISBN number along with proceeding CD. Papers will also be published online on our web site. Proceeding papers will be included in Google Scholar and sent to be reviewed for their inclusion in the ISI Citation Index database.


Topics of Interest
Data Mining
• Adaptive Algorithms • Classification
• Clustering • Collaborative Filtering/Personalization
• Complexity, Efficiency, And Scalability Issues In Data Mining • Computational Learning Theory
• Data And Knowledge Representation For Data Mining • Data Cleaning & Noise Reduction
• Data Mining Applications • Data Pre-Processing
• Data Reduction • Data Stream Mining
• Dimension Reduction • Educational Data Mining
• Ethics Of Data Mining • Feature Selection/ Feature Extraction
• Foundations Of Data Mining • Frequent Pattern Mining
• Graph Mining • Human-Machine Interaction And Visual Data Mining
• Integration Of Data Warehousing, OLAP And Data Mining • Link And Graph Mining
• Mining Complex Datasets • Mining Data Streams
• Mining Graphs • Mining On Emerging Architectures
• Mining Semi Structured Data • Mining Spatio-Temporal Data
• Mining With Constraints • Mining With Data Clouds And Big Data
• Multimedia Data Mining, Web Mining • Multi-Task Learning
• Parallel And Distributed Data Mining Algorithms • Pattern Recognition And Trend Analysis
• Post-Processing Of Data Mining Results • Probabilistic & Statistical Methods
• Query Languages And User Interfaces For Mining • Security And Information Hiding In Data Mining
• Security, Privacy And Social Impact Of Data Mining • Soft Computing And Uncertainty Management For Data Mining
• Spatial And Temporal Mining • Statistics And Probability In Large-Scale Data Mining
• Text Video • Visualization
Data Base
• Access Methods And Physical Design • Active Databases
• Availability, Reliability, And Scalability • Big Data Storage, Processing And Transformation
• Complex Event Processing And Data Streams • Concurrency Control And Recovery
• Constraint Modelling And Processing • Data And Information Networks
• Data And Information Privacy And Security • Data And Information Quality
• Data Curation, Annotation And Provenance • Data Integration, Heterogeneous And Federated DBMS
• Data Management In Clouds • Data Management In Grid And P2P Systems
• Data Models And Database Design • Data Quality
• Data Structures And Algorithms For Data Management • Data Visualization
• Data Warehousing • Database And Information System Architecture And Performance
• Database Performance And Evaluation • DBMS On Emerging Hardware Architectures
• Deductive Databases • Digital Libraries
• Distributed And Parallel Databases • Graph Databases
• Heterogeneous Databases • Incompleteness, Inconsistency, And Uncertainty In Databases
• Indexing, Query Processing And Optimization • Information Retrieval And Database Systems
• Interoperability • Knowledge And Information Processing
• Knowledge Modelling • Metadata Management
• Middleware And Workflow Management • Mobile Data And Information
• Multi-Databases And Database Federation • Multimedia Databases
• Object-Oriented Databases • Ontology-Based Data Management
• Pervasive Data And Information • Privacy, Security, And Trust Management
• Process Support And Automation • Query Languages
• Query Processing And Optimization • Scientific And Statistical Databases
• Semantic-Web Data • Semi-Structured Data
• Sensor Data Management • Social Networks And Analysis
• Spatial, Temporal And Geographic Databases • Text Databases And Information Retrieval
• User Interfaces To Databases And Information Systems • Very Large Data Bases
• Workflow Management And Databases • WWW And Databases
• XML And Databases • XML And Semi-Structured Databases
• Grid, Peer-To-Peer Databases And Cloud Computing

Website: http://csen-scoop.org/addm/
Enquiries: secretary@eng-scoop.org

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