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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).

征稿信息

重要日期

2017-07-20
初稿截稿日期
2017-09-15
终稿截稿日期

征稿范围

  • 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

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重要日期
  • 会议日期

    10月25日

    2017

    10月27日

    2017

  • 07月20日 2017

    初稿截稿日期

  • 09月15日 2017

    终稿截稿日期

  • 10月27日 2017

    注册截止日期

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