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l Theory, algorithms and models of data mining
l Machine learning for data mining
l Statistical methods for data mining
l Data mining systems
l Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
l Data mining in personalization and recommendation
l Case-Based Reasoning
l Similarity-Based Reasoning
l Clustering
l Classification
l Prediction
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l Association Rules
l Capability Indices
l Deviation and Novelty Detection
l Conceptional learning
l Inductive Learning
l Organisational Learning
l Evolutional Learning
l Sampling Methods
l Similarity Measures
l Similarity learning
l Statistical Learning
l Neural Net Based Learning
l Feature Learning
l Frequent Pattern Mining
l Applications in all aspects of datamining
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l Data models and architectures
l Security, privacy, and trust
l Data protection and integrity
l Identity theft, data loss and leakage
l Legal and ethical issues
l Data analytics and metrics
l Data representation and structures
l Data management and processing
l Data capturing and acquisition
l Tools and technologies
QoS in big data
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l Social networks analysis
l Data searching and mining
l Visualisation of data
l Personal data logging and quantified-self
l Context-aware data
l Data economics
l Applications of data mining and big data
l Methodologies and use cases
l Usability issues
l Storages and network requirements
l Network models and protocols
l Big data in cloud and IoT
l Techniques for Big Data Processing
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