The National Institute of Technology Goa (NIT Goa) is a Premier Technical Institute of the region. NIT Goa was established in the year 2010 by an act of parliament (NIT act 2007) and it is declared as 'Institute of National Importance'. NIT Goa is an autonomous Institute and functioning under the aegis of Ministry of Human Resource Development (MHRD), Govt. of India. The Institute offers Under Graduate and Post Graduate courses in three Engineering Departments: (1) Computer Science and Engineering (2) Electronics and Communication Engineering and (3) Electrical and Electronics Engineering. The Institute also offers Ph.D in all these engineering departments. Along with that the Institute also offers Ph. D programme in Mechanical Engineering, Physics, Chemistry, Mathematics, Economics and English. The Institute admits students into B.Tech program on the basis of ranks obtained in the Joint Entrance Examination JEE (Mains) and the scheme of Direct Admission to Students Abroad (DASA). The institute has been sincerely attempting to deliver quality education and to achieve excellence in teaching, learning and research with high professional ethics. For M.Tech Programme, the Institute admits students through valid GATE score followed by CCMT (Centralized Counseling for M.Tech Admissions).
Association rules
Case-based reasoning and learning
Classification and interpretation of images, text, video
Conceptional learning and clustering
Goodness measures and evaluation
Inductive learning including decision tree and rule induction learning
Knowledge extraction from text, video, signals and images
Mining gene data bases and biological data bases
Mining images, temporal-spatial data, images from remote sensing
Mining structural representations such as log files, text documents and HTML documents
Mining text documents
Organisational learning and evolutional learning
Probabilistic information retrieval
Sampling methods
Selection with small samples
Similarity measures and learning of similarity
Statistical learning and neural net based learning
Video mining
Visualization and data mining
Applications of Clustering
Aspects of Data Mining
Applications in Medicine
Autoamtic Semantic Annotation of Media Content
Bayesian Models and Methods
Case-Based Reasoning and Associative Memory
Classification and Model Estimation
Content-Based Image Retrieval
Decision Trees
Deviation and Novelty Detection
Feature Grouping, Discretization, Selection and Transformation
Feature Learning
Frequent Pattern Mining
High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of internal representations and models
Learning of appropriate behaviour
Learning of action patterns
Learning of Ontologies
Learning of Semantic Inferencing Rules
Learning of Visual Ontologies
Learning robots
Mining Images in Computer Vision
Mining Images and Texture
Mining Motion from Sequence
Neural Methods
Network Analysis and Intrusion Detection
Nonlinear Function Learning and Neural Net Based Learning
Real-Time Event Learning and Detection
Retrieval Methods
Rule Induction and Grammars
Speech Analysis
Statistical and Conceptual Clustering Methods
Statistical and Evolutionary Learning
Subspace Methods
Support Vector Machines
Symbolic Learning and Neural Networks in Document Processing
Time Series and Sequential Pattern Mining
Audio Mining
Cognition and Computer Vision
Clustering
Classification & Prediction
Statistical Learning
Association Rules
Telecommunication
Design of Experiment
Strategy of Experimentation
Capability Indices
Deviation and Novelty Detection
Control Charts
Design of Experiments
Capability Indices
Conceptional Learning
Goodness Measures and Evaluation (e.g. false discovery rates)
Inductive Learning Including Decision Tree and Rule Induction Learning
Organisational Learning and Evolutional Learning
Sampling Methods
Similarity Measures and Learning of Similarity
Statistical Learning and Neural Net Based Learning
Visualization and Data Mining
Deviation and Novelty Detection
Feature Grouping, Discretization, Selection and Transformation
Feature Learning
Frequent Pattern Mining
Learning and Adaptive Control
Learning/Adaption of Recognition and Perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Mining Financial or Stockmarket Data
Mining Motion from Sequence
Subspace Methods
Support Vector Machines
Time Series and Sequential Pattern Mining
Desirabilities
Graph Mining
Agent Data Mining
Applications in Software Testing
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Representation Formats for Multimedia Big Data
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Algorithms and Systems for Big Data Search
Machine learning based on Big Data
Visualization Analytics for Big Data
Big Data Analytics in Enterprises,
Big Data Trends in Retail and Travel Industry,
Current and future situation of Big Data Market
Financial parts of Big Data Industry
Big information in clinical and social insurance
Big information in Regulated Industries,
Big information in Biomedicine
Multimedia and Personal Data Mining
Marketing
Medicine
E-Commerce (Mining Logfiles)
Biotechnology
Quality Management
Multimedia Data (Image, Video, Text, Signals)
Web-Mining
Intrusion Detection in Networks
Agriculture
Meterology
10月25日
2017
10月27日
2017
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