The MIKE 2018 Program Committee invites submissions of original theoretical research, applied research and deployed application papers on all aspects of Data Mining, Learning theory and Knowledge Discovery. Example submission areas include, but are not limited to:

Evolutionary Computation

Track Chairs: 
Camelia Chira, Babes-Bolyai University, Romania (email: cchira@cs.ubbcluj.ro)
Jose R. Villar, University of Oviedo, Spain (email: villarjose@uniovi.es)

We focus on the following topics, but strictly not limited to:

• Evolutionary Computation
• Design of new and improved evolutionary algorithms
• Design of new search operators
• Diversity control
• Hybrid approaches and memetic algorithms
• Local search methods
• Automatic algorithm configuration and design
• Applications of metaheuristics to combinatorial optimization problems
• Development of tailored evolutionary algorithms for specific applications

Knowledge Exploration in IoT

Track Chairs: 
Anca Hangan  , Technical University of Cluj - Napoca, Romania
Ramona Marfievici  , Nimbus Research Center, Cork Institute of Technology, Ireland

We focus on the following topics, but strictly not limited to:

• Physical: world event processing and understanding: novel data collection, deep learning, real-time decision making, event processing, extracting information from large data sets);
• Machine learning and deep learning on sensor data: deep learning models for multimodal sensing and processing, multi-sensor fusion with deep learning);
• IoT: reliability, adaptability, and dependability;
• Technical assessment of emerging IoT standards;
• New hardware and system design to enable machine learning on sensor data;
• Sensor data related issues (e.g., structure, management, methods, tools, analysis, etc.);
• Anomaly detection;
• Data mining of large scale urban networks and big data;
• Human/social behavior mining in urban environments;
• Environmental modelling based on data mining methods.

Artificial intelligence

We focus on the following topics, but strictly not limited to:

• Artificial intelligence and philosophy
• Automated reasoning and inference
• Cognitive aspects of AI
• Common-sense reasoning
• Constraint processing
• Heuristic search
• Intelligent interfaces
• Intelligent robotics
• Knowledge representation
• Multi-agent systems
• Reasoning under uncertainty or imprecision
• Applications of AI

 Machine Learning

Track Chairs: 
Camelia Lemnaru , Technical University of Cluj - Napoca, Romania (email: Camelia.Lemnaru [AT] cs.utcluj.ro)

We focus on the following topics, but strictly not limited to:

• Decision tree learning
• Association rule learning
• Artificial neural networks
• Deep learning
• Support vector machines
• Bayesian learning
• Reinforcement learning
• Representation learning
• Similarity and metric learning
• Sparse dictionary learning
• Rule-based machine learning
• Learning classifier systems
• Applications of ML
• Applications of ML to various interdisciplinary domains
• Modelling Material Properties,
• Predicting Material Properties
• Predicting Mechanical Properties
• Thermal Properties of Fluids
• Design Materials
• Optimizing Material properties
• Application of Neural Networks
• Fuzzy Logic
• Fuzzy Systems
• Computational Intelligence

Data Mining and Information Retrieval

Track Chairs: 
Radu Razvan Slavescu, Technical University of Cluj-Napoca, Romania (email: radu.razvan.slavescu@cs.utcluj.ro)

We focus on the following topics, but strictly not limited to:

• Data and knowledge creation and discovery
• Data and knowledge processing, modelling, mapping,
• Data and knowledge search, interoperability, exchange and integration
• Data visualization
• Databases, indexing and query processing
• Data mining: machine learning and deep learning
• Behaviour analytics
• Business analytics
• Customer analytics
• Financial analytics
• Information retrieval and extraction
• Big data infrastructure and visualization
• Scalable computing and high-performance computing for big data
• Parallel and distributed data mining techniques
• Computational intelligence based theories and methods
• Statistical and mathematical techniques
• Large-scale optimization
• Data characteristics and complexities
• Bioinformatics, computational biology, health and medical analytics

Image Analysis, Pattern Recognition and Computer Vision

Track Chairs: 
Radu Danescu , Technical University of Cluj - Napoca, Romania (email: Radu.Danescu [AT] cs.utcluj.ro)

We focus on the following topics, but strictly not limited to:

• Visual search
• Computer vision theory
• Physics-based vision and shape from-X
• 3D computer vision
• Vision for graphics
• Vision for robotics
• Vision for web
• Computational photography, sensing and display
• Document and handwriting analysis
• Image and video analysis
• Segmentation, grouping and shape representation
• Motion and tracking
• Content-based retrieval of image and video
• RGBD sensor and analytics
• Recognition: detection, categorization, indexing
• Face and gesture recognition
• Action recognition
• Biometrics
• Statistical learning based applications
• Deep learning based applications

Speech / Signal Processing

Track Chairs: 
Mircea Giurgiu, Technical University of Cluj - Napoca, Romania
Anil Kumar Vupalla, IIIT Hyderabad

We focus on the following topics, but strictly not limited to:

• Basics of oral communication: modelling of production and perception processes;
• phonetics and phonology; syntax; cognitive aspects
• Models and tools for language learning: functional organization and developmental models of human language capabilities; acquisition and rehabilitation of spoken language;
• Speech signal analysis
• Speech recognition
• Language identification
• Speaker recognition
• Speech synthesis
• Multimodal human computer interface: speech in combination with gesture, handwriting etc
• Forensic voice comparison
• Forensic analysis of disputed utterances
• Speaker identification by earwitness

Text Mining and Natural Language Processing

We focus on the following topics, but strictly not limited to:

• Named entity recognition
• Part-of-speech tagging
• Relationship extraction
• Parsing
• Sentence breaking
• Word segmentation
• Morphological segmentation
• Topic segmentation and recognition
• Automatic summarization
• Coreference resolution
• Machine translation
• Natural language generation
• Natural language understanding
• Question answering
• Sentiment analysis
• Word sense disambiguation

Intelligent Security Systems

Track Chairs: 
Ciprian Oprisa, Technical University of Cluj- Napoca, Romania (email: Ciprian.Oprisa@cs.utcluj.ro)
Odelu Venga, Korean University, South Korea

We focus on the following topics, but strictly not limited to:

• Device log analysis
• Correlation of events posing security threats
• Deep packet analysis
• Network and system behaviour analysis
• User behaviour modelling and analysis
• Intrusion detection
• Intelligent security systems
• Cryptanalysis
• Steganalysis
• Social media analysis for security

Smart and Intelligent Systems

Track Chairs: 
Vlad Muresan, Technical University of Cluj-Napoca, Romania (email: vlad.muresan@aut.utcluj.ro)
Hrishikesh Venkataraman, Indian Institute of Information Technology, Sri City, AP, India
Amit A Nanavati, IBM India Research Labs, New Delhi, India

We focus on the following topics, but strictly not limited to:

• Smart Cities
• Smart Transportation
• Intelligent V2V and V2I Communication
• Vehicular Networks
• Data Analytics for Real-Time Systems
• System Assisted Driving/ Recommendation Engine
• Deep Learning for smart systems