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Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges

Part of the Smart Innovation, Systems and Technologies Book Series (volume 164)

Editors: Vijayakumar, V.; Neelanarayanan, V.; Rao, Praveen; Light, Janet

DOI: 10.1007/978-981-32-9889-7

ISBN: 978-981-32-9888-0

Publisher: Springer Singapore - Springer Journals

Oct 5, 2019

1 - 10 of 14 Chapters

LitStream

Big Data in Healthcare: Challenges and Promise

Kale, Siddharth; Tamakuwala, Harsh; Vijayakumar, V.; Yang, Longzhi; Rawal Kshatriya, Bharat S.

Pages: 3 –17

[Recently, the growth of the clinical sector and the technologies used in combination with the healthcare sector has resulted in the massive growth of the data that is being produced. To handle, store, and analyze such massive amounts of data, big data techniques are being used in the healthcare...
LitStream

MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System

Sangeetha, D.; Rathnam, M. Venkata; Vignesh, R.; Chaitanya, Jitta Sai; Vaidehi, V.

Pages: 19 –33

[Health care is one of the constitutional rights of the people in India. Every resident of this country has the right to the highest attainable standard of health both physically and mentally. But, in India, the number of active Primary Health care Centers (PHCs) is very less in number,...
LitStream

Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm

Viloria, Amelec; Wang, Guojun; Gaitan, Mercedes

Pages: 35 –44

[The research aims to describe the CRISP-DM method to identify optimal customer groups that are likely to migrate from a prepaid to postpaid plan in order to formulate an improvement plan in call management by sorting the database. The logistic regression model was applied to analyze the...
LitStream

Predictive Model for Detecting Customer’s Purchasing Behavior Using Data Mining

Viloria, Amelec; Li, Jin; Guiliany, Jesús García; de la Hoz, Boris

Pages: 45 –54

[Profitability is one of the most important marketing objectives in a company, so estimating and detecting in advance what a customer will purchase from a defined product portfolio is an important factor. Considering that the company under study maintains a large number of customers and has no...
LitStream

Prediction Rules in E-Learning Systems Using Genetic Programming

Viloria, Amelec; Angulo, Mercedes Gaitan; Kamatkar, Sadhana J.; de la Hoz – Hernandez, Juan; Guiliany, Jesús García; Bilbao, Osman Redondo; Hernandez-P, Hugo

Pages: 55 –63

[This paper describes the use of Data Mining Techniques to improve teaching–learning processes in the linear programming course offered at the Engineering Faculty at Mumbai University, India. The proposed approach seeks to model the student’s interaction with the study material using prediction...
LitStream

Database Knowledge Discovery in Marketing Companies

Viloria, Amelec; Li, Jin; Sandoval, Jessica Manosalva; Villa, Jesús Vargas

Pages: 65 –75

[In recent years, technological development in both the computing and data transmission fields has allowed the storage and management of large volumes of data. Today, businesses move in highly competitive and continuous changing environments. Market dynamics requires companies to handle the right...
LitStream

Segmentation of Sales for a Mobile Phone Service Through CART Classification Tree Algorithm

Viloria, Amelec; Wang, Guojun; Gaitan, Mercedes

Pages: 77 –85

[The work consisted of detailing the CRISP-DM method in order to identify optimal groups of customers who are more likely to migrate from a prepaid to postpaid option in order to formulate an improvement plan for in call management by sorting the database. Classification models were applied to...
LitStream

Influence of Knowledge Management Between the Bank and the Local Socioeconomic Development: Correlational Analysis

Pons, Aliana Gómez; Lezama, Omar Bonerge Pineda; Izquierdo, Noel Varela; Herrera, Hernán Hernández; Silva, Jesús

Pages: 87 –103

[Knowledge management in the bank applied to the requirements of the Local Socioeconomic development (LSED) is a topic without concrete results about the implemented strategies. Given the situation, this study seeks to determine if the knowledge management influences the relationship between the...
LitStream

Characterization of Latin American Universities in the TOP10 of the Rankings

Torres-Samuel, Maritza; Vásquez, Carmen; Luna, Marisabel; Bucci, Nunziatina; Viloria, Amelec; Vargas, Jesús

Pages: 105 –118

[Among the most recognized university rankings are the Shanghai Ranking, QS World University Ranking, SCimago Institutions Rankings SIR and the Web Ranking of Universities-Webometrics. By June 2019, there are ten Latin American universities positioned in the Top10 of the four Rankings, despite...
LitStream

A Graph-Based Node Identification Model in Social Networks

Subramaniyaswamy, V.; Vijayakumar, V.; Sri, Dhivya; Tresa, Jane; Ravi, Logesh

Pages: 119 –130

[An enormous amount of data is being generated in many social networking sites. Among them, Twitter is the most data generated platform, which includes commercial data, business data, events, and polls. Various tasks can be done with the generated data. One among them is finding the trending...

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