Mining medical data to identify frequent diseases using Apriori algorithm
M Ilayaraja, T Meyyappan - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
The data mining is a process of analyzing a huge data from different perspectives and
summarizing it into useful information. The information can be converted into knowledge …
summarizing it into useful information. The information can be converted into knowledge …
Infrequent weighted itemset mining using frequent pattern growth
L Cagliero, P Garza - IEEE transactions on knowledge and …, 2013 - ieeexplore.ieee.org
Frequent weighted itemsets represent correlations frequently holding in data in which items
may weight differently. However, in some contexts, eg, when the need is to minimize a …
may weight differently. However, in some contexts, eg, when the need is to minimize a …
Clinical decision support system for diagnosis and management of chronic renal failure
AY Al-Hyari, AM Al-Taee… - 2013 IEEE Jordan …, 2013 - ieeexplore.ieee.org
Chronic Renal Failure (CRF) is a gradual loss of kidney's function over a period of time,
ranging from months to years. Unlike other chronic diseases, CRF is not yet thoroughly …
ranging from months to years. Unlike other chronic diseases, CRF is not yet thoroughly …
Local linear wavelet neural network based breast tumor classification using firefly algorithm
MR Senapati, PK Dash - Neural Computing and Applications, 2013 - Springer
Breast cancer is the major cause of cancer deaths in women today and it is the most
common type of cancer in women. This paper presents some experiments for classifying …
common type of cancer in women. This paper presents some experiments for classifying …
Searum: A cloud-based service for association rule mining
Large volumes of data are being produced by various modern applications at an ever
increasing rate. These applications range from wireless sensors networks to social …
increasing rate. These applications range from wireless sensors networks to social …
Rapid development of applications in data mining
VK Deepa, JRR Geetha - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
The development of Information Technology has generated large amount of databases and
huge data in various areas. Loose coupling is adapted in Data Mining System, since it can …
huge data in various areas. Loose coupling is adapted in Data Mining System, since it can …
[PDF][PDF] The survey of data mining applications and feature scope
The advent of information technology in various fields of human life has lead to the large
volumes of data storage in various formats like records, documents, images, sound …
volumes of data storage in various formats like records, documents, images, sound …
[PDF][PDF] Chemotherapy prediction of cancer patient by using data mining techniques
R Yadav, Z Khan, H Saxena - International Journal of Computer …, 2013 - Citeseer
Breast cancer is one of the prominent diseases for women in developed countries including
India. It is the second most frequent cause of death in women. The identification of breast …
India. It is the second most frequent cause of death in women. The identification of breast …
An improved medical image classification model using data mining techniques
S Wagle, JA Mangai, VS Kumar - 2013 7th IEEE GCC …, 2013 - ieeexplore.ieee.org
In today's world, there is a dire need for the appropriate use of technology to diagnose and
treat patients by analyzing medical data, which is usually in the form of images. This need …
treat patients by analyzing medical data, which is usually in the form of images. This need …
Medical image analysis an attempt for mammogram classification using texture based association rule mining
DS Deshpande, AM Rajurkar… - 2013 Fourth National …, 2013 - ieeexplore.ieee.org
Breast cancer, the most common type of cancer in women is one of the leading causes of
cancer deaths. Due to this, early detection of cancer is the major concern for cancer …
cancer deaths. Due to this, early detection of cancer is the major concern for cancer …