ICDDBD 2016 - International Conference on Data Mining, Data Science and Big Data

Data Mining
Regression/Classification
Time series forecasting
Segmentation/Clustering/Association
Deviation and outlier detection
Explorative and visual data mining
Web mining
Mining text and semi-structured data
Mining large scale data
Temporal and spatial data mining
Multimedia mining (audio/video)
Data Mining Algorithms
Mining large scale data/big data
Distributed and grid based data mining
Data and knowledge representation
Business/Corporate/Industrial Data Mining
Engineering Mining
Data warehousing and OLAP integration
Integration of prior/domain knowledge
Data cleaning and preparation
Data Mining Integration and Process
Feature selection and transformation
Attribute discretisation and encoding
Sampling and rebalancing
Missing value imputation
Model selection/assessment and comparison
Induction principles
Security Data Mining
Model interpretation
Efficient and distributed data mining platforms and algorithms
Data Mining Applications
Data Science
Mathematical Issues in Data Science
Big Data Issues and Applications
Educational Data Science
Big Data in Smart Campus and Its Analization
Methods for analyzing Scientific Data
Business data
Social Network Analysis
Recommender Systems
Data Quality and Data Preparation
Data Sciences with Text and Language
Data Sciences with Location
Social Network Analysis
Data-driven Scientific Research
Mining Sequences
Large-scale Machine Learning Systems
Evaluation and Measurement in Data Science
Big Data Mining and Knowledge Management
Case Study of Data Science
Social impacts of Data Science
Big Data
Big Data Computing and Service
Techniques and models for Big Data
Algorithms and systems for Big Data
Big Data Modeling, Sharing Technologies and Platforms
Big Data Analytics and Social Media
Big Data in Smart Campus and Its Analization
Parallel and Distributed Computing for Big Data
Big Data Mining and Knowledge Management
Big Data Intelligence and Knowledge Engineering
Machine Learning and AI for Big Data
Hardware/Software Infrastructure for Big Data
Databases and Data Mining for Big Data
Big Data Centre and Enable Technologies
Security and Privacy for Big Data
Systems for large-scale data analytics of textual and graph data
Large-scale machine learning systems
Distributed computing (cloud, map-reduce, MPI)
Large-scale optimization
Big Data Information Banking
Big Data Education and Learning
Big Data Issues and Applications
Novel Statistical techniques for Big Data
Big Data and Smart Computing Applications (Health Care, Medicine, Finance, Business, Law, Transportation, Telecommunication, Science, Engineering, etc.)