An intelligent system for focused crawling from Big Data sources

I Bifulco, S Cirillo, C Esposito, R Guadagni… - Expert Systems with …, 2021 - Elsevier
Nowadays, the proper management of data is a key business enabler and booster for
companies, so as to increase their competitiveness. Typically, companies hold massive …

Impact of macroeconomic variables on stock market returns: a case study of Colombo Stock Exchange, Sri Lanka

R Rathnayaka, D Seneviratna - Kelaniya Journal of Management, 2018 - kjm.sljol.info
Unexpected circumstances with respect to the social and economic conditions, the stock
market indices have been moving up and down with high volatility. This study examines the …

[PDF][PDF] New Proposed Mobile Telecommunication Customer Call Center Roster Scheduling Under the Graph Coloring Approach

HI Arumawadu, R Rathnayaka… - International Journal of …, 2016 - ijcatr.com
The call center roster scheduling is one of the significant problem in the mobile
telecommunication roster management systems today; especially, creates work plan and …

[PDF][PDF] Transportation Research Interdisciplinary Perspectives

EA Prasetio, D Novizayanti, ANA Putri - researchgate.net
Indonesia's major cities suffer from severe traffic congestion, leading to air pollution, wasted
time, higher casualty rates, reduced productivity, respiratory issues, and contributions to …

[PDF][PDF] Automated Evaluation of Seed Germination Test using CNN and Tensor Flow

DRM SHAIKH - jnao-nu.com
Seeds are essential for human society as a food source and serve as starting material for
crops. The yield of crops is not only highly dependent on environmental factors but also on …

Extracting most significant data about the user queries from the search engine by K-means++ algorithm

A Gomathi, K Raja - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Today every process requires very important data as well as updated data about that
process or work. In order to acquire those data, employees from various fields are searching …

[引用][C] New Customer Churn Prediction Model for Mobile Telecommunication Industry

[引用][C] Artificial Neural Network Based New Classification Methodology for Identifying Kidney Disease Risk Levels

[引用][C] Data Stream Profiling: Evolutionary and Incremental Algorithms for Dependency Discovery

S Cirillo - 2022 - elea.unisa.it
Data Profiling represents one of the most crucial processes in data quality assessment. It
includes a set of activities to efficiently analyze datasets and provide insights from them …