Research Paper Presentation Data Science Congress 2018

 

Data Science Congress invites researchers, scholars and authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence, Machine learning, NLP, Data Mining and other intelligent computing techniques and their applications in science, technology, business and commerce to publish in peer reviewed international research journal. All submitted papers will be peer reviewed.

Research Paper Categories

Data Science Congress invites researchers, scholars and authors to submit their original and unpublished work that demonstrate current research using big data analytics.

Big Data Algorithms & Architecture

Big data is data so large that it does not fit in the main memory of a single machine, and the need to process big data by efficient algorithms.

The areas included , but not limited:

  • 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 Applications

The areas included , but not limited:

  • 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

Data Mining

It’s the process of analyzing data from different perspectives and summarizing it into useful information – information that can be used to increase revenue, cuts costs, or both. The areas included in:

  • Marketing
  • Medicine
  • E-Commerce (Mining Logfiles)
  • Biotechnology
  • Quality Management
  • Multimedia Data (Image, Video, Text, Signals)
  • Web-Mining
  • Intrusion Detection in Networks
  • Agriculture
  • Meterology

Theoretical Application in

  • Clustering
  • Classification
  • Prediction and classification
  • Statistical Modeling etc..

Machine Learning

It focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data. Applications of machine learning in:

  • Medicine, health, bioinformatics and systems biology
  • Industrial and engineering applications
  • Security applications
  • Smart cities
  • Game playing and problem solving
  • Intelligent virtual environments
  • Economics, business and forecasting applications

Artificial Intelligence

The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Applications in

  • Agriculture
  • Banking and Finance
  • Bioinformatics
  • Business and Manufacturing
  • Recommender Systems
  • Robots
  • Smart Houses and Appliances etc

Natural language processing (NLP)

It’s the ability of a computer program to understand human speech as it is spoken. Areas included in

  • Development and empirical evaluation of machine learning methods applied to any natural language or speech processing task in supervised, semi-supervised or unsupervised settings (e.g. structured prediction, graphical models, deep learning, relational learning, reinforcement learning, etc.).
  • Theoretical analyses of learning-based approaches to natural language processing.
  • Computational models of human language acquisition and processing, models of language evolution and change, and simulation and analysis of psycho-linguistic findings.

Cognitive Computing

It’s the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. Applications area are:

  • Speech Recognition
  • Sentiment Analysis
  • Face Detection
  • Election Result insights
  • Robotics etc..

Important Dates

Submissions Open for
Data Science Congress 2018

Last Date to Submit Abstract
31st January 2018

submission acceptance notification
on or before 10th Feb 2018

Last Date to Submit Final Paper
20th February 2018

Payment Options

 Categories  Indian Authors Authors from SAARC Countries Authors from Other Countries
Students  2000 INR  35 USD  70 USD
 Research Scholars (Ph.D)  3000 INR  50 USD  100 USD
 Academic Faculty  4000 INR  65 USD  130 USD

Please mail Abstract before the deadline as attached file in MS Word format to editor@datasciencecongress.com with subject line ‘Research paper 2018’

Publishing Partner

Researchers at Data Science Congress 2017

Asha Subramanian

Asha Subramanian

Inferencing in the Large: Towards Automation of Semantic Integration and Knowledge Representation of Open Data

Kashif Saiyed

Kashif Saiyed

Hierarchical Naïve Method for Short Term Vehicle Sales Forecasting

Ketan Barshikar

Ketan Barshikar

Hierarchical Naïve Method for Short Term Vehicle Sales Forecasting

Mohit Ved

Mohit Ved

C-DAC’s Big Data Software Suite (C-BDSS) An extensible open platform for Big Data Science

Madhukar Kumar

Madhukar Kumar

Controlling customer attrition with Supervised Classification technique & Survival Model using Cox Proportional Hazard Regression

Akhil Gupta

Akhil Gupta

K-Means Associated Terrorism Clustering Avoiding Noise

Sandeep Agarwal

Sandeep Agarwal

Proposed Feedback Analysis Using Big Data Tools

Kusum Yadav

Kusum Yadav

Proposed Feedback Analysis Using Big Data Tools

Dr. Srinivasu Pappula

Dr. Srinivasu Pappula

Mathematical Modelling for Crop pricing based on Market value of its products

Chanchal Pramanik

Chanchal Pramanik

Mathematical Modelling for Crop pricing based on Market value of its products

Tejeshwar J.

Tejeshwar J.

Semantic and Scalable Processing of CityPulse Data for Real Time Event Prediction

Bibhudutta Jena

Bibhudutta Jena

Enhance The Performance Of Name Node By Aggregator Assisted HADOOP Framework

Archana Chandrabhanu

Archana Chandrabhanu

An Approach To Smart Agriculture Practice using Internet of Things(IoT),Big Data and Neural Networks

Vaishali Lokesh Gatty

Vaishali Lokesh Gatty

An Approach To Smart Agriculture Practice using Internet of Things(IoT), Big Data and Neural Network

Rohit Sharma

Rohit Sharma

Use of Big Data in Warehousing to enhance Accessibility of Food

Dr. Mithun Bhaskar

Dr. Mithun Bhaskar

Smart Farming with application of Model-Based Design, Big Data & Machine Learning

Joshua Choma

Joshua Choma

Ensembles of Neural Networks for Time Series with Application to Climate Change Prediction

Pranav Verma

Pranav Verma

Behaviour Analytics of Generation – Z in Social Network by Cohort

Dr. R. Sasikala

Dr. R. Sasikala

Behaviour Analytics of Generation – Z in Social Network by Cohort

Pradeep Gupta (IPS)

Pradeep Gupta (IPS)

Identifying Recidivism for Indian Police using Machine Learning

Sanjeev Thukral

Sanjeev Thukral

Identifying Recidivism for Indian Police using Machine Learning

Sabyasachi Chakraborty

Sabyasachi Chakraborty

A Proposal for Shelf Placement Optimization for Retail Industry using Big Data Analytics

Kashyap Barua

Kashyap Barua

Proposal for Shelf placement optimisation for retail industry using Big Data Analytics

Dr Manjusha Pandey

Dr Manjusha Pandey

Proposal for Shelf placement optimisation for retail industry using Big Data Analytics

Dr. Siddharth S. Rautaray

Dr. Siddharth S. Rautaray

A Proposal for Shelf Placement Optimization for Retail Industry using Big Data Analytics

Gagandeep Singh Khanuja

Gagandeep Singh Khanuja

Smart Farming with application of Model-Based Design, Big Data & Machine Learning

Balamurali Palaniyandi

Balamurali Palaniyandi

Smart Farming with application of Model-Based Design, Big Data & Machine Learning

Dr. Sivaprasad Nandyala

Dr. Sivaprasad Nandyala

Smart Farming with application of Model-Based Design, Big Data & Machine Learning

Sachin Srivastava

Sachin Srivastava

Comparative analysis of Particle Swarm Optimisation & Cultural Algorithm in the Prediction of Foreign Exchange

Gayatri KVR

Gayatri KVR

Comparative analysis of Particle Swarm Optimisation & Cultural Algorithm in the Prediction of Foreign Exchange

Dr. Monika Gupta

Dr. Monika Gupta

Comparative analysis of Particle Swarm Optimisation & Cultural Algorithm in the Prediction of Foreign Exchange

Ashank Rudola

Ashank Rudola

Comparative analysis of Particle Swarm Optimisation & Cultural Algorithm in the Prediction of Foreign Exchange

Bharath Cheluvaraju

Bharath Cheluvaraju

An Artificial Intelligence based Approach to Estimate Human Semen Quality from Microscopic Videography

Dheeraj Mundhra

Dheeraj Mundhra

Shonit TM ­ An Artificial Intelligence based Automated Peripheral Blood Smear Analyser

Santanusantanu Pattanayak

Santanusantanu Pattanayak

Process performance maximization through input par using taylor series expectation approximation

Srinivasan Parthiban

Srinivasan Parthiban

Deep Learning and Big Data for Biomedicine: The Next Frontier

Ranjani Subramaniam

Ranjani Subramaniam

Preventing accidents through real-time warning of dangerous Spots to connected vehicles

Sandhya Gopalan

Sandhya Gopalan

Preventing accidents through real-time warning of dangerous Spots to connected vehicles