A comprehensive survey of data mining

MK Gupta, P Chandra - International Journal of Information Technology, 2020 - Springer
Data mining plays an important role in various human activities because it extracts the
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …

[PDF][PDF] Prediction of low birth weight infants and its risk factors using data mining techniques

D Senthilkumar, S Paulraj - … of the 2015 international conference on …, 2015 - ieomsociety.org
High rates of maternal mortality, infant mortality, and preterm births, as well as continuing
disparities in pregnancy outcomes are an important public health issue in India and …

[PDF][PDF] Introduction To Data Mining Tools and Techniques & Applications: a Review

S Verma, P Rattan - in Business, 2021 - researchgate.net
Data mining refers to extract and identify useful information from large sets of data. This term
is really a misnomer. Thus, data mining should be named as knowledge mining which rely …

Survey on different data mining techniques for prediction

P Akulwar, S Pardeshi, A Kamble - … on I-SMAC (IoT in Social …, 2018 - ieeexplore.ieee.org
Data Mining has wide applicability due to wide ease of use of large amount of data and
requirement of storage as per the need. Data mining techniques are widely useful in …

A data-mining model for predicting low birth weight with a high AUC

U Hange, R Selvaraj, M Galani, K Letsholo - Computer and information …, 2018 - Springer
Birth weight is a significant determinant of a newborn's probability of survival. Data-mining
models are receiving considerable attention for identifying low birth weight risk factors …

Analyzing feasibility for deploying very fast decision tree for DDoS attack detection in cloud-assisted WBAN

R Latif, H Abbas, S Assar, S Latif - … , ICIC 2014, Taiyuan, China, August 3-6 …, 2014 - Springer
In cloud-assisted wireless body area networks (WBAN), the data gathered by sensor nodes
are delivered to a gateway node that collects and aggregates data and transfer it to cloud …

Pattern discovery and analysis of customer buying behavior using association rules mining algorithm in e-commerce

B Arivazhagan, S Pandikumar… - 2022 First …, 2022 - ieeexplore.ieee.org
Customers are important in the business sector because they buy and sell products or use
services. Customers typically switch between buying sites based on which one offers the …

Comparative study of data mining algorithms for high dimensional data analysis

T Smitha, V Sundaram - … Journal of Advances in Engineering & …, 2012 - search.proquest.com
The main objective of this research paper is to prove the effectiveness of high dimensional
data analysis and different algorithm in the prediction process of Data mining. The approach …

Investigating the risk factors for low birth weight using data mining: a case study of Imam Ali hospital, Zahedan, Iran

F Firouzi Jahantigh, R Nazarnejad… - … of Medical Sciences, 2016 - jmums.mazums.ac.ir
Background and purpose: High rate of mothers and infants' death and preterm birth are
amongst major public health problems worldwide. The aim of this study was to identify …

An artificial intelligence approach to estimate travel time along public transportation bus lines

MS Ghanim, K Shaaban, M Miqdad - 2020 - qspace.qu.edu.qa
Public transportation sectors have played significant roles in accommodating passengers
and commodities efficiently and effectively. The modes of public transportation often follow …