[PDF][PDF] HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES.
H David, SA Belcy - ICTACT Journal on soft computing, 2018 - ictactjournals.in
Data mining is a technique that is performed on large databases for extracting hidden
patterns by using combinational strategy from statistical analysis, machine learning and …
patterns by using combinational strategy from statistical analysis, machine learning and …
A comparative study on heart disease prediction using data mining techniques and feature selection
The world health organization shows us that cardiovascular disease is one of the noteworthy
reasons for death in the world. In this paper, data mining classification techniques ie Naive …
reasons for death in the world. In this paper, data mining classification techniques ie Naive …
Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches
JL Bruse, MA Zuluaga, A Khushnood… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: Today's growing medical image databases call for novel processing tools to
structure the bulk of data and extract clinically relevant information. Unsupervised …
structure the bulk of data and extract clinically relevant information. Unsupervised …
GPS based bus tracking system
L Singla, P Bhatia - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
In this fast life, everyone is in hurry to reach their destinations. In this case waiting for the
buses is not reliable. People who rely on the public transport their major concern is to know …
buses is not reliable. People who rely on the public transport their major concern is to know …
[PDF][PDF] Hierarchical clustering: a survey
There is a need to scrutinise and retrieve information from data in today's world. Clustering is
an analytical technique which involves dividing data into groups of similar objects. Every …
an analytical technique which involves dividing data into groups of similar objects. Every …
Data clustering approaches survey and analysis
G Ahalya, HM Pandey - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
In the current world, there is a need to analyze and extract information from data. Clustering
is one such analytical method which involves the distribution of data into groups of identical …
is one such analytical method which involves the distribution of data into groups of identical …
[HTML][HTML] FML-kNN: scalable machine learning on Big Data using k-nearest neighbor joins
Efficient management and analysis of large volumes of data is a demanding task of
increasing scientific and industrial importance, as the ubiquitous generation of information …
increasing scientific and industrial importance, as the ubiquitous generation of information …
IoT-based healthcare system for real-time maternal stress monitoring
There is a major concern about pregnancy-associated stress and anxiety, which are key risk
factors for various pregnancy complications involving the health of mother and fetus [13, 14 …
factors for various pregnancy complications involving the health of mother and fetus [13, 14 …
[HTML][HTML] Household electricity consumer classification using novel clustering approach, review, and case study
GS Ramnath, SM Muyeen, K Kotecha - Electronics, 2022 - mdpi.com
There is an increasing demand for electricity on a global level. Thus, the utility companies
are looking for the effective implementation of demand response management (DRM). For …
are looking for the effective implementation of demand response management (DRM). For …
[HTML][HTML] Identifying chronological and coherent information threads using 5W1H questions and temporal relationships
Due to the massive volume of articles produced online every day, it is challenging for online
platforms (eg, news agencies) to present the information about an event, activity or …
platforms (eg, news agencies) to present the information about an event, activity or …