ICBAI 2018 : Micro-Scheduleicbai2018/ICBAI-2018-Micro-Schedule.pdf · An Application of Analytic Hierarchy Process In Demand Generation For Sales Enablement 1.14 Aditi, Arshia Kaul

ICBAI – 2018 : Micro-Schedule

20 December 2018 – Schedule

Time: 14:00 – 15:45 Hrs Track: 1 Venue: J. N. Tata Auditorium

Track Chair: Dr. Rajnish Kumar, State Street Global Advisors

S.No Author(s) Paper Title

1.01 Dipayan Chowdhury and

Dr. Anuj Prakash

Credit Scoring in Retail Banking using Analytical

Hierarchy Process (AHP)

1.02

Jyoti Dhingra Darbari,

Vernika Agarwal and

Garima Agarwal

Multi-attribute Decision Model for Facility Selection in

Sustainable Reverse Supply Chain

1.03 Navitha Parthasarathy

and Kavita Dwivedi

Optimizing Collections Scorecards using Machine

Learning Models

1.05

Subhasis Sen, K

Rajagopal and Vaishali

Mahajan

Knowledge Based System for Home Loan Evaluation:

A Prescriptive Analytics

1.06

Dr. Manish Sinha, Dr.

Dipasha Sharma and

Saumya Srivastava

Use of Big Data in Monetary Policy: Constructing an

Inflation Index with the help of Python

1.07 Akansha Jain, Arshia

Kaul and P.C. Jha

Optimal Omni-Channel Procurement Distribution

Planning with Consideration of Quantity and Freight

Discounts

3.22

Sivarama Anandha

Krishnan M, Saranraj R

and Kamala V

Modeling and Analysis of Ergonomic Variables in IT

Industry using ISM and SEM Techniques

Time: 15:45 – 16:15Hrs Tea at Dining Area, J.N.Tata Auditorium


Time: 14:00-15:45 Hrs Track: 2 Venue: Hall-A

Track Chair: Mr. Kushal Shah, State Street Global Advisors


1.08 Jay B.Simha and

ShinuAbhi Intelligent Profiling for Human Capital Utilization

1.09 PhaneendraAkula and

Abhilash Bodanapu

Application of Machine Learning for Prediction of

Employees at Risk of Leaving Organization

1.10 Abhishek Srivastava and

Dr. Pradip Kumar Bala

Diffusing Indian Vedic Philosophy for Transfer

Learning in Artificial Intelligence Systems for

Personalised Recommendations

1.11 Arindam Chakrabarty

and Mudang Tagiya

Awareness and Affinity towards Green Products

among Young Generation: A Case of Arunachal

Pradesh

1.12 Kavya Parthiban and

Shruthi S

Fake News Detection using Dependency

Tree based Recurrent Neural Network

1.13

Pankaj Kumar Saini,

Santhosh Raghavan

Subramanian, Prasanna

Paul and Suresh Shetty

An Application of Analytic Hierarchy Process In

Demand Generation For Sales Enablement

1.14 Aditi, Arshia Kaul and P.

C. Jha

Integrated MCDM-VC Model for Analysing

Performance of Supply Chain



Time: 14:00 – 15:45 Hrs Track: 3 Venue: Hall-B

Track Chair: Mr. Mohammed Rehan, State Street Global Advisors


1.15 Hemalatha A.C and Dipan

Banerjee

Shift to Overdrive – Data Science transforms

underwriting Auto loans

1.16 Dr. V. Jayalakshmi and V.

Annapurna

Insurance And Economic Growth In India: Co-

Integration And Causality Analysis

1.17

KausikOhja, Ramakrishnan

Chandrasekaran and

Madhan Seran

Credit Risk Analytics to mitigate rising Non

Performing Assets

1.18

Divyanshu Suri, Mayank

Bhardwaj and Rahul

Pandey

Predicting Best Beer using Machine Learning

Techniques

1.19 Pavithra S, Pradeep Kumar

S and Khishore VS Prediction Engine for Stock Market

1.20 Rahul Kumar and Dr Pritpal

Singh Bhullar,

An Effective Fraud Detection Using Denoising

Autoencoders

1.21

RitheeshKakita, Charlie

Hass and Lokendra Kumar

Devangan

Application of machine learning in basketball



Time: 14:00 – 15:45 Hrs Track: 4 Venue: Hall-C

Track Chair: Dr. Prasanna Srinivas, EY, Bangalore


1.22 Ragaavi.D ,Sanjula.K.R

and Srinandhini.M Forecasting Business Turnover Using R

1.23

Rudra P. Pradhan, Manju

Jayakumar and

RanapratapMaradana

Does Market Structure Matter on Banking

Competition-Economic Growth Nexus: An Analytics

Approach?

1.24 Sandeep Patalay and Dr.B.

Madhusudhan Rao

Design of a Decision Support System for Stock

Price Prediction Using Artificial Neural Networks

1.25

Dr. Rakesh Sharma, Savita

Gupta and Dr. Ravi Kiran

An Empirical Panel Data Analysis of Factors

Influencing Working Capital Requirements in

Emerging Economies – Evidence from the BSE

Listed Companies

1.26 Shyam Sunder Thunoli Cognitive, Automated & Integrated AML-KYC

1.27

Srivignesh.S,Sridharan.S,

Sandhru.D, Chandia.S and

Sathya. C

Prediction and analysis of the global healthcare

Expenditure

1.28 Srinivasan R, Raj S.

Dhankar

Assessment of Monte Carlo Simulation Technique

for Estimating Value at Risk (VaR) in the Indian

Mutual Funds Industry



Time: 14:00 – 15:45 Hrs Track: 5 Venue: Hall-D

Track Chair: Prof. M.H. BalaSubrahmanya, IISc, Bangalore


1.29 Dr. Himanshu Joshi

Does Stock Option Trading Induce Firm

Innovativeness? Evidence from Indian Options

Trading Stocks

1.30

Dr. Rakesh Yadav, Dr.

Pankaj Sharma and

Dr.K.Rajagopal

Policy Analysis of Non-executive- Independent

Directors pay on firm performance- Empirical

evidence from Bombay stock Exchange (BSE)-260

firms

1.31 Dr. Saif Siddiqui and Ms.

Preeti Roy

Asymmetric Effects of Exchange Rate & Foreign

Institutional Investments in India: A Nonlinear ARDL

Approach

1.32

Shuchi Tiwari,

ShaileshTiwariand

T.Jayashree

e-CRM: A Repurchase and Brand Image Technique

in Life Insurance Sector

1.33 ShravaniPonde and

Ratnakar Pandey Clustering Model for Stocks

1.34 Dr. Tripura Sundari C.U. and

Dr.Kadalarasane T

Data Visualization Technique Which Reveals the

Real Aadhar Beneficiaries

1.35 Dr. Tuhin Mukherjee and

AvikChattopadhaya

Agricultural Risk Management Through Crop

Insurance Scheme in India




Track Chair: Dr. K.N. Subramanya, RV College of Engineering, Bangalore


1.36 VikasChib and Ahsan Jafri

An Effective Approach of Extracting Local

Documents from the Distributed Representation of

Text using Doc2vec and LSA

1.37 Shantanu Prasad and

Subhasis Sen ‘Mobile App’ Behavior Analysis

1.38 Arshia Kaul,Sugandha

Aggarwal and P.C. Jha

Optimal Placement of Advertisements in Television

in Mass and Segment Media

1.39

PrathameshKarmalkar,

Shikha Singhal and

Abhilasha Mangal

Dynamically improving Patient Value for Medical

Affairs through AI & contextual NLP for Life

Science

1.40

AbhilashaAswal, Anushka

Chandrababu,

InduIlanchezian, Sanat R,

TarunDutt and G. N.

Srinivasa Prasanna

Big-data Analytics using set-theoretic relational

algebra for convex models of data

1.41

Alex Paul Menon,

Pushpendra Kumar Meena,

Shashank Pandey, Nishant

Saxena,VibhaVerma and

Atul Yadav

Jan Samvaad

1.42

Rahul Solanki, Jyoti

Dhingra Darbari and P.C.

Jha

An Integrated Supplier Selection Decision Model

for Minimizing the Sustainability Related Supply

Chain Risks

Time: 18:00 – 19:15 Hrs Cultural Program

Time: 19:15 – 20:15 Hrs Conference Dinner at the Dining Area


Time: 16:15 – 18:00 Hrs Track: 7 Venue: Hall A

Track Chair: Dr. Amrutha, EY, Bangalore


1.43 Animesh Biswas and Arun

Sarkar

Development of hesitant intuitionistic trapezoidal

fuzzy prioritized operators based on Einstein

operations with their application to multicriteria

group decision making

1.44

Dr. Avneet Saxena, Anurag

Gupta, Anup Dugane and

Premanand Raju

System Availability Simulation for LNG Train

Approach to reduce unplanned downtime

1.45 ManojHudnurkar, Mr.

SuhasAmbekar

Business Intelligence framework for collaboration

with suppliers in supply chain

1.46 Dr. Avneet Saxena and

Ayush Rawal

Real time Logistics Planning: Integrated Telematics

and Optimization driven Solution

1.47

Girija Krishnaswamy,

Thomas P. Thomas,

SoorajKenoth, V. Sasi

Kumar and Dora Marinova

Adotion Of Free And Open Source Software (Foss)

- Case Study Of Migration To Foss At Kerala

Legislative Assembly

1.48 Sridhar Seshadri and

Sridhar Vaithianathan

What you see is untrue! What you hear is a Lie! AI

is the ONLY TRUTH!!! Machine Learning approach

to expose the FAKE NEWS AROUND

1.49 Mukundan R, Karuna Jain

and Nitin Akhade

IP Strategy for developing dynamic capabilites in

Digital Manufacturing




Time: 16:15 – 18:00 Hrs Track: 8 Venue: Hall B

Track Chair: Dr. P. Balachandra, IISc, Bangalore


1.50 Kajal Negi and Deep Parikh ML driven Configurable Framework for Early

Prediction of Machine Failure using Sensor Data

1.51 Tejus V G and Nishanthi

Basavaraj Prevention of Customer Churn with Big Data

1.52

Yaswanthan A, Vijay M, Sri

DhurkeshS, Chandia S,

Sathya C

Detection of fraud transaction using neural

networks

1.53

C.P. Sri Chidambaram, S.

Siva Karthik and G. Karthick

Kumar

Financial Market Analysis Using Machine Learning

Tools

1.54 Arunima K. V. and Dr. P.

Pakkeerappa

Knowledge Management and academic

performance in Indian government schools

1.55 Mahitha G and Anitha J Classification and Analysis of Hepatitis B data

using Machine Learning Techniques

1.56 Dinesh Ghanta and

PavanrajTalawar

Load Curve Analysis and Short-Term Load

Forecasting – A Big Data Approach




Time: 16:15 – 18:00 Hrs Track: 9 Venue: Hall C

Track Chair: Dr. Sashi Jain, IISc, Bangalore


1.57 R.Parkavi, P.Karthikeyan A Social Network Analytic Model for exploring the

behavioral interactions among School Students

1.58

Vishnu Raghavan, Rajendra

Desai, Marcia Akshaya Leo

and Sriranjani R

A Case Study on Prediction of Turnout for Interviews

Using Candidate and Company Profile Data

1.59

Pankajam Srinivasan, G

Ranganath and Sriram

Venkatesan

Integrated Pricing Analytic Framework for Revenue

and Margin Improvement

1.60 Sahil Makkar and Gautam

Singhal

Emotion Detection and Transition from one emotional

state to another

1.61 S.Saipriya, N.S.Divya Sri,

G.Santhiya and P.Chitra

A Mobile Based Pollution Alert System Using Machine

Learning

1.62

Andrea Brian Churchill,

ParimalaMudimela and Brian

Mark Churchill

Convolutional Neural Network Model for Detection of

Diabetic Retinopathy in Clinical Practice

1.63 Veni Devi Gopal, Dr.Angelina

Geetha and Dr.Prabhakar

Cyclic Shuffled Frog Leaping Algorithm for Clustering

Targeted Learners





Track Chair: Prof. Sheena, NIT Surathkal


1.64 Dr. Dipasha Sharma andDr.

Manish Sinha

Assessing Financial Exclusion among Urban-Poor in

India during Demonetization: An Application of Text

Analytics

1.65 Badri Toppur

Statistical Analysis of Effeciency and Profitability of

Indian Banks and of Foreign Banks Operating in

India.

1.66 Umakanta Panda and Avik

Sinha

Comparison between different Rate making

mechanism in Electricity Sector for Optimizing

Revenue

1.67 Adarsh Rajaram Hegde and

Supraj S Vastrad

Detecting and Preventing Online Banking Fraud

using GeosatialIntellligence

1.68

Dr. S. Rajakarunakaran, Mr.S.

Godwin Barnabas, Mr. M.

Lakshmanan, Mr.R. Pranav

Ram, Mr.S. Ramesh and

Mr. J. Veeraiah

Analytics in Reducing the Defect Rate In Helmet

Manufacturing Unit

1.69 Dr.B. Aiswarya and Dr. G.

Ramasundaram

The Impact Of Engagement Practices On The

Employee Sustainability Of The Organizations

1.70 Akshat Bal Dikshit and Manish

Singh

Unlocking Hidden Insights through Effective Data

Visualizations



…END OF DAY 1….



Track Chair: Dr. ShinuAbhi, Reva University, Bangalore

S. No Author(s) Paper Title

2.01 Ajay Sankar. J, Siva Kumar

and Balaji K. Predictive Analysis on Healthcare

2.02

Ravi Krishna Vogeti,

Santhosh Raghavan

Subramanian,

Prasanna Paul,

Suresh Shetty

Resource Allocation Problem: An Extended Application

of Gale Shapley Algorithm

2.03 Sanjay Vissa Data Visualization and selection tools for

Small/Medium Enterprises

2.04 Dr M. Ramasubramaniam,

Dr. M. Mathirajan

A Hybrid Machine Learning and MIP based Heuristic

Algorithm for minimizing makespan on a batch-

processing machine withnon-identical job size

2.05 Prabal Mahanta and

Sougata Kumar Laha

Synergy of Business Analytics with Business Drivers

and systems

2.06

Banerjee Arkadeep,

Abdussalam Amal and Garg

Shivanjali

Automated System for Enabling Initial Screening of

Diabetic Retinopathy

2.07 AlkaPandita

AQHE Model Depicting Relationship Between

Academic Culture, Student and Employee Experience,

Employability And Branding With The Overall

Performance Of Engineeing Institutes In India.

3.09 UsharaniChelladurai and

Seethalakshmi Pandian

A Novel Scheduling Mechanism to Support Health

Care Analytics Using Block Chain Technology

Time: 11:00 – 11:30 Hrs Tea at Dining Area, J.N.Tata Auditorium


Time: 09:00 – 11:00 Hrs Track:12 Venue: Hall-A

Track Chair: Dr. Vimala Rani, Amrita Business School, Bangalore


2.10

Mihir Dash, Vishnu

V.M.and Mamatha

Kanthraju

Proactive Customer Experience Management using

Sentiment Analysis

2.11

Vishnu M Ramakrishnan,

Jayasankar P Pillai, Anjani

B Singh, Hema Giri P and

Samson Souza

Analytics enable distribution cost Optimization for CPG

companies

2.12 Jaydip Sen Stock Price Prediction Using Machine Learning and

Deep Learning Frameworks

2.13

Ashish Sharma, Poulomi

Mukherjee Mondal,

Sukanta Kumar Naskar

and Anupam Haldar

Case Study on Automated Inspection System Selection

Using Topsis Method

2.14 Sugandha Aggarwal,

Arshia Kaul, P.C. Jha

Optimal Media Planning using Mass and Differentiated

Promotion under Fuzzy Environment

2.15

Rashi Sharma, Jyoti

Dhingra Darbari and

P.C.Jha

A Total Interpretive Structural Model for Assessment of

Collaborative Sustainability Practices in

Food Supply Chain

3.68 Nishanth Upadhyaya Dense Vector Embedding of Items for Similar and

Substitute Products using Neural Network




Track Chair: Dr. Jay B Simha, Reva University, Bangalore


2.16

Srinidhi.D, Rithika Raj,

Abinaya.K, Chandia.S and

Sathya.C

Market Segmentation and Product Positioning by

using Clustering Technique

2.17 Dr. Subrat Sarangi and Dr.

Sunita Mall

Predicting Outcomes in One Day Cricket - Decision

Tree Classification Model

2.18 Baba Gnanakumar. P

Predictive Analytics for Devising Gold Prices –

A case study of Price prediction for Importing

Gold from Thailand to India

2.19 Motilal Satyarthi Optimization Of Availability Through Supply Chain

Analytics

2.20 Dibya Nandan Mishra and

Dr Rajeev Kumar Panda

Understanding Customer Experiences in Indian

Railways: Implementation of Machine Learning based

Sentiment Analysis

2.21

Ganapathi Subramanian V ,

C Karthiknathan and A M

Abirami

Personality based Recommendation System using

Collaborative Filtering

2.22 Vaibhav Nellore, Ladle Patel

and ArunPavuri

An End-to-End Solution for Customer Analytics using

Various Dimensions of Artificial Intelligence




Track Chair: Dr. Malolan, Ford, Chennai


2.23 Komal Singh Sandhu, Poorva

Gupta and Varsha Rani

An Ensemble of Speech Analytics and Text Mining for

Near Real-Time Feedback to Improve Customer

Experience

2.24 Yamini Pandari and Lije

George

A filter-wrapper approach to feature selection

implemented in an R package

2.25 Dr. MadhviSethi, Dr. Rajesh

Panda and A Vidyasagar

An Empirical Analysis of Employability and Academic

Outcome in a Business School Context

2.26 Vikas Gupta, Rajeev Arora,

Raj Sambal and Anita Kumari

Software Solution for Car Park Revenue Management

System (CPRM) for Airport

2.27

Ram Mohana Reddy G,

Nagarjun S A, Ranganath Pai

M and Dhiraj Bhakta

Detection of Spam and Bots in Twitter Using

Incremental Deep Learning Techniques

2.28 OmswarupShourie and

Prajwal Chittoju

Predictive Ranking of Features added to Product and

Its Impact to New Products

2.29 Raji Gopinathan.N and

Elizabeth Sherly

Ceaseless Surveilance To Curb Dropouts and

Enlarge Knowledge Rate Using Predictive Analytics




Track Chair: Dr. Ramasubramanian, Loyola Business Administration, Chennai


2.30 Anupam Purwar

Customer experience management in Food and

Beverage outlet at Indian School of Business:

Methodology and recommendations

2.31

Chandrasekaran G,

Balamurugan G and Praveen

Paul J

Online Customer Analytics of High Value Products

Retailing

2.32

Hari Bhaskar

Sankaranarayanan, Ramya

Boopathy and Suresh Menon

An Exploratory Analysis of Loyalty Affiliation for

Asian Low-CostAirlines

2.33 Jayant Maheshwari and

VivinGeevarghese Facilitating Movement to E-Cart

2.34

Mansour AlShamali, Pierre Al-

Khoury and Prof. A. Nagaraj

Subbarao

An Empirical Research on Facets Associated with

Bitcoin Purchase Intentions Of Lebanese Citizens:

Empirical Evidences From Lebanon

2.35 Neha Amoli and Dipojjwal

Ghosh Brand Perception Analysis

2.36

Prameela BM, Sanjaya

Panigrahy, Prasanta Panda

and BhabaniPattanaik

Personalized Marketing using Event Based Big Data

Analytics




Track Chair: Prof. Parthasarathy Ramachandran, IISc, Bangalore


2.37 Vijaya Karthik S V and Dr.

Kavitha Shanmugham

Analysis of Learning Integrated Enterprise Resource

Planning (ERP) towards Educational Institution in

India

2.38 Santanu Sinha and

MrinmoyeeSarma Predicting Raw Material Price for Hi-Tech Industry

2.39 Eldhose K.K, R Sridharan, G.

Varaprasad and Anish M.N

Evaluation of students' performance in Technical

education in an Indian State

2.40 Hemanth Kumar S,

EaswaranIyer

Data Analytics in Supply Chain Management for

achieving Operational Excellence

2.41 Alok Kumar Optimal Replenishment Policy for Price Dependent

Potential Market Size in a Supply Chain System

2.42 Sanjay Adasul, Amit Mitra,

Vikash Taunk and Arun Sane Insurance analytics – pay how you drive!

2.43 Subhasis Sen, Shantanu

Prasad and K Rajagopal Social Media Analytics in Sports Event Marketing




Track Chair: Prof. Chiranjit Mukhopadhyay, IISc, Bangalore


2.44

Rajan Gupta,

SushmitaYadav,

AvinashPrasad,

and Dr. Saibal K Pal

DQAT: Data Quality Assessment Tool

2.45 Rajat Kumar Behera and

Pradip Kumar Bala

Turning data into actionable information for business

performance measurement using 3rd wave of

storytelling via scorecard and dashboard

2.46

Ramakrishnan Sitaraman,

Velmurugan Manickam and

Dr. Kiran Marri

Insights, Measurements and Metrics of Chat

Conversations in Contact Centers

2.47

R. Ruma Agnes, Sridhar

Vaithianathan and E.

Johanan.A.Daniel

Text Analytics Approach To Streamline Hospital

Operations

2.48 Sameer Prasad and Dr.

Harish Borra

Big Data and Action Research: Implications for

Humanitarian Operations

2.49 Dr. SanjitaJaipuria A Study on Performance of Indian Premier League

Cricket Team

2.50 Shobha N S and Dr. K N

Subramanya

Heuristics Approach for Modelling Inbound Logistics

in an Automobile Manufacturing Enterprise - A Case

Study




Track Chair: Mr. Dushyant Rai, State Street Global Advisors


2.51

Mohammed Abdul

BaseerMaimoon and Dr. P.H.

AnanthaDesik

A Case Study On Two-Wheeler Loan Underwiting

Automation Process Using Machine Learning of A

Large Commercial Bank

2.52

Ravi Chandra Vemuri, Kiran

Telu, Vijay Shri Purushotham

and

LaxmanaVaraprasadEnugurthy

Bigdata Analytics Implementation to predict Cost per

Click performance

2.53 Savita Gupta, Dr. Ravi Kiran

and Dr. Rakesh Sharma

Digital Mode of Payment as A Mediator Between

Drivers Of Online Shopping And Behaviour

Intention: An Emerging Economy Case

2.54 Sheena, G.Naresh and

Sudheer Muhammed KM

Brand Rejuvenation: The Effects of Hypothetical

Brand Extensions on Existing Brands

2.55 Ashok Shetty and Lakshmi D

Building Predictive Models to classify the right

segment of customers by predicting click and open

probabilities of an email campaign

2.56 Uma Lakshmi Kalakada and

Sukanya Kundu

Antecedents Of Customer Agility From The

Perspective Of Customer Knowledge Management

Capability: The Context Of Indian Retail Sector

2.57 Sachin SK, NeelimaAnasuri

and Nidhil C H

Breast Cancer Prediction from Finite Needle

Aspiration Data using Machine Learning Algorithms



Time: 14:00 – 16:00 Hrs Track: 19 Venue: Hall C

Track Chair: Mr. VikasMor, State Street Global Advisors


2.58 Viral Rathod,

Ankur Mawandia

Explicating Airline Passenger Reviews using

Word2Vec Model and Machine Learning

2.59 Yogesh Bhuwad Commercial Vehicle AMC Pricing (Annual

Maintenance Contract)

2.60 M. S. Sai Vinod and Dr. N

Sivakumar

Predictive Analysis of Corporate Environmental

Responsibility as part of CSR in NIFTY indexed

companies using Markov chain analysis

2.61 Akhil Negi, Apoorva Khanna

and Neha Shrivastav

Predicting Crime Rate and Identifying the most

influential features

2.62

Shobha Deepthi V,

BaddamSumithReddi and

VigneshThangaraju

Using Machine Learning for Intelligent Defect Creation

2.63 Nagendra B.V, Krishna

Goswami and Jay B.Simha

Implementation of Forecasting And Classification

Models To Predict Crimes In Chicago

2.64

Anshuman Dash, Satyajit

Pal, Girish Yellapa and

Chinmay Hegde

Ransomware Auto-Detection in IoT Devices Using

Machine Learning




Track Chair: Mr. Lokesh Mrig, State Street Global Advisors


2.65

Ravish Singh Thind, Ramya

Boopathy and Ankur

Mawandia

An Exploratory Analysis of Factors Influencing Inbound

Arrival Trends in India

2.67 Shabd Dubey Application of Analytics to boost Services in

Commercial vehicle segment

2.68 Mustafa AneesBaquari, Shruti

Parashar and Nitin Gupta

Personalized Summary Generation using text mining

techniques-A hotel reviews case study

2.69 Vinodh Reddy Chennu and

Vinay Ch

Analysing Indian Internet users Behaviour in

Manufacturing Industry Sector Websites

2.70 Dr A Mansurali and Mr S

Mohammed Tariq

Segmenting the Satisfied Customers of Indian Fast

Food Industry – ApplicationOf Enhanced Bat

Optimization With EBO-Fcm Clustering Algorithm

2.71 AbhishDevasia and Prasanna

Paul

Improving reliability of Business Scorecards and

Dashboards through Data Quality Framework


…END OF DAY 2 …



Track Chair: Dr. PL.K.Palaniappan, Thiagarajar College of Engineering, Madurai

S. No Author(s) Paper Title

3.01 Balasubramanian S. and

P. Balachandra

Simulation based characterization of electricity demand

profiles

3.02

Dr. N S Narahari, Varna,

Dr. Vikram N B and M N

Shruthi

Investigative study on the development of a two stage

machinability prediction model for Chrome Steel

machining Operations using CNC turning

3.03 Akshita Srivastava and

Dinesh Vaitheeswaran

To Study the effect of Different Warranty Claim Behavior

in different Regions using Machine Learning Algorithms

3.04

Dr.S.K.Sudarsanam,

Dr.Umasankar and

Chintada Anusha

A Comparative Study of OEE using predictive models

3.05 Amit Kulkarni Big Intelligence in Supply Chain Optimization

3.06 Dr. V. Padmavathi and

Ishaan Sengupta

Predictive Analytics for Insurer Risk Management -

Behavioural Traits Of Fraudsters

3.07 Akhil Joseph and Dr. P.

Balachandra Designing an energy market for Energy Internet



Time: 09:00 – 11:00 Hrs Track: 22 Venue: Hall-A

Track Chair: Dr. Ramasubramanian, LIBA, Chennai


2.09 Panchariya Ankita., and

Mathirajan, M

A Simple and Dynamic Mathematical Model Based

Procedure for Berth Allocation Problem

3.08

Supriya Mandal, Yatendra

Chaudhary, Sanjay

Kalsangra, Rajagopalan V

and Alok Kuchlous

Computer-aided system for automatic retinal disease

classification and region marking for affected areas using

pixel-level clustering

3.10 Himanshu Rathore The advertising policy for deteriorating items in a two-

echelon inventory system

3.11 P Murli Krishna and

Mandeep Kaur

Hybrid machine learning approach for processing

scanned forms with handwritten data

3.12 Rahul Pant and Kalyana

Chakravarthy Bedhu

Analytics in Incident Management: A Clustering

Approach

3.13

Satyabala Hariharan,

Dr.Dhimant Ganatra and

Dr. U Dinesh Kumar

Performance evaluation and benchmarking of indian b-

schools using data envelopment analysis

3.14 AayushiKalra and Dr. U.

Dinesh Kumar

Analysis of Two Stage Perishable Inventory Using

Reinforcement Learning Algorithms




Track Chair: Dr. Malolan, Ford, Chennai


3.15 ArunPavuri and Abhilash

NVS

Deep Learning and Computer Vision based Damage

Analysis for Auto Insurance Claims

3.16

MrugankAkarte,

BalasahebGandhare and

Milind Akarte

Maintenance Performance Classification using

Machine Learning with multi-criteria– A Case of Dairy

Industry

3.18 Dr.Subiksha.K.P Improvement in Analyzing Healthcare Systems using

Deep learning Architecture

3.19

R.Suganya, Faiz Mohammed

Ali, Venkatesh S, and

Mohammed Shakir. F

Analysis and Prediction Of The Vegetable Price Using

The Data Mining Clusturing And Classification

Techniques

3.20

James Mathew,

Vivekanandan Raman and

Dr. Kiran Marri

Analysis of data from road condition, speed, vehicle

type and GPS on driver

performance

3.21

Sudipto Pal, Vinay

Venkateswaran, Maria

Thomas and Pallavi Jindal

ML Based Financial Model For Renewals In

Membership/Subscription Based Businesses

3.25 Rahul Sathyajit and Karthick

Raja S

Application of Principal Components Analysis to the

Indian Stock Market




Track Chair: Dr. N.S. Narahari, RV College of Engineering, Bangalore


1.04 Kshitija Joshi

Managing the Risks from High-Tech Investments in

India: Differential Strategies of Foreign and Domestic

Venture Capital Firms

3.17 Naveen B. R Entrepreneurship and start-up ecosystem at the

Indian academic institutes: A student’s perspective

3.23 Lalit Kumar Ojha Product Feature-Based Approach for Customer

Segmentation

3.24 Lakshmi Shankar Iyer Handwritten digit recognition through SVM model

3.26 Akash Murthy and

MahathiGunturu Health Index through Geometry

3.27

Ashish Kumar Jatav,

Manjesh Kumar Hanawal and

Tilak Raj Singh

Hybrid Methods for Forecasting

3.28

Biswajit Biswas, Manas

Kumar Sanyal and Sajal

Bhadra

A Soft Intelligence Approach for Improvement

Strategy of Online Market




Track Chair: Dr. Narasimha Murthy, Atria Institute of Technology, Bangalore


3.29 Andrew Greasley An assessment of the simulation capabilities of

process mining

3.30 M.Aravindh and

PL.K.Palaniappan

Perishable food supply chain management:

literature review and directions for Future research

3.31

Chandrasekaran G,

Balamurugan G, Praveen Paul

J and Gopi S

A Predictive Approach for an Eco-friendly and

Optimized Road Commuting System in Tamilnadu

3.32 Dr. Dilip Kumar Datta Status of Water Quality of Rivers: Interstate

Disparity in India

3.33 N.Gayathriy and K.Amshakala Impact of Data Preprocessing on Bayesian Learning

3.34 S. Jeya Bharathi and M.

Saravana Vadivu

Optimization Study for Rectangular grid Graph

based on Grammar

3.35

Kanishka Vatsa, Sujay

Mendon, SudhindraGowripeddi

and Suresh Shetty

Data Architecture for Smart Cities – An Open

Source Implementation



Time: 11:30 – 13:30 Hrs Track:26 Venue: J. N. Tata Auditorium

Track Chair: Dr. N.S.Narahari, RV College of Engineering, Bangalore


3.36 R.Nithya Shree, R. Bhargavi

and P. Chitra

A Novel System for Predicting Fruit Ripening Using E-

Nose Technology

3.37 A.Sheik Abdullah and

S.Selvakumar

An Improved Medical Informatic Decision Model by

Hybridizing Ant colony Optimization Algorithm with

Decision Trees for Type II Diabetic Prediction

3.38 Vijayalakshmi Madha and

Sarmistha Acharya Healthcare Analytics

3.39 Naveen Kumar Megharaj and

Akshata Kishore Moharir

Application of Rotation Forest for Aircraft Engines

Fault Diagnosis

3.40 SreejitBakshi and Tirthankar

Goon

A novel machine learning approach to detect diabetic

retinopathy

3.41 P. Deepa, R. SuganyaS and

Rajaram

An efficient classification and retrieval system for

Polycystic Ovary Syndrome using Convolution neural

networks

3.42

Kaushik Raghavan,

Nagarajan Pichumani and

Prof. V. Kamakoti

Tuning the hyperparameter for Regression based

predictive models using Bayesian optimization

techniques

Time: 13:30 – 14:30 Hrs Lunch at Dining Area



Track Chair: Dr. Vasantha Kumar, Dayanand College of Engineering, Bangalore


3.43 MaryaWani and Samik Some Analyzing Government Policies in India through Public

Opinion Using Twitter Data

3.44

Kishalay Adhikari, Dr. Rajeev

Kumar Panda and Siddharth

Misra

Application of Best-Worst Method and Analytic

Hierarchy Process in Hatchback Brand Selection

3.45 Varun Gondu, NeeleshDasari

and Saurabh Kumar

Forecasting The Outcome Of Matches Based On

Classification And Regression Trees And Neural

Network In Indian Premier League

3.46 NeeleshDasari, Varun Gondu

and Saurabh Kumar

Does Bollywood Movies Impact Tourism? An

Application of Event Study

3.47 Dr. Shekhar Shukla and

Dr. Anil Vaidya

A sequential application of Decision Tree and Logistic

Classifier for Liver Disease Prediction

3.48 ShyamSreekumaran Nair and

SanthiPerumal

Effect of future citations and patent renewal on

singleton patent’s price

3.49

Lokendra Kumar Devangan,

Malleswara Sastry Kanduri

and AnchalKhare

Integrating assortment optimization with inventory

optimization leveraging cloud and big data technology




Track Chair: Dr. Narasimha Murthy, Atria Institute of Technology, Bangalore


3.50 MrugankAkarte and Prof.

Priyanka Verma

Supplier Segmentation using boosting tree – A

Machine Learning approach

3.51

Srivathshan KS, Vishesh

Kumar Jha, JoyfredJesuraj A,

DesuSesha Sai Suhash and

ParvejReja Saleh

PeopleReporter – Smart social media tool to detect

breaking news and its credibility

3.52 Poorva Gupta and Mohit

Makkar

Advance Video Search Engine Leveraging

Dimensions of Text Analytics, Speech Analytics and

Computer Vision

3.53 Rahul Chattopadhyay

Advances In Maintenance Of Critical Plant Machinery

Equipment, Optimization Of Equipment And

Minimization Of Breakdowns

3.54 Rahul Sharma and Renold

Raj Devaraj

Temporal Outlier Prediction in Time Series

Forecasting

3.55

Mr.S.Godwin Barnabas,

Mr.C.Gururaj, Mr.J.Jerold

John Britto, Mr.M.Harrish,

Mr.T.Karthik@Siva and

Mr.A.Dhinesh Raja

Forecasting On Electricity Consumption And Demand

In India

3.56 Priya R and Rishab Prasad Open API - Data Analytics Accelerator




Track Chair: Dr. PL.K. Palaniappan, Thiagarajar College of Engineering, Madurai


3.57

Sayantan Banerjee, Rajeev

N. Ranjan and Omprakash

Ranakoti

Application of artificial &recurrent neural Network

(LSTMs) models to time series forecasting and

comparison with general arima(x)& hybrid ARIMA(x)

models using tensorflow&keras

3.58 Dr Sunita Kumar and Shiv

Onkar Deepak Kumar Enterprise Anomaly detection in Cloud environment

3.59 Abhinish Paul and Anil John

Reinforcement Learning ChatBot design based on

Markov Chain transition model - Proactive proposal of

relevant Entities as product feature filters &

automated scheme for Personalization by user

segment

3.60 Dipojjwal Ghosh, Siladitya

Sen and Soumya Talukder Data Science in Sports

3.61 Staline Xavier, Prajwal

Chittoju and Raju Venugopal

Intelligent Prioritization based on MCDM and Deep

Learning

3.62 Sujoy Kumar Goswami and

ArunPavuri

Automatic Signature Detection and Classification for

KYC using Deep Learning and Machine Vision

3.63

ArijitGanguly, Malleswara

Sastry Kanduri and

LokendraDevangan

Time Series Forecasting using LSTM




Track Chair: Dr. Amritha, EY, Bangalore


2.66

Revanth G, Madhur Bhardwaj,

ShaivyaKodan and Santanu

Bhattacharya

Classifying Smartphone Performances Using Radio

Call Trace Data

3.64

Kanishka

PriyadharshiniAnnamalai,Sujay

Mendon and Suresh Shetty

A Deterministic Automated Forecasting Dashboard

for Last Day of Support (LDoS).

3.65

Venkatesh Konapur, Satish

Hegde, Prithvi Mugali and Nakka

Siva Kumar

Real time Intrusion and Vulnerability detection using

deep learning & machine learning on bluecoat proxy

data

3.66 Mohit Makkar, Rajeev Ranjan

and Yogita Rani

Linearization techniques for Mixed Integer Non-

Linear Optimization Problems

3.67

Dr. Murthy Remilla,

Dr.J.K.Kishore, Raghuram K.N

and S.Venkatesh

Application of OR & Supply Chain Management in

Indian Satellite Programme

…END OF DAY 3…
