A survey on popularity bias in recommender systems
Recommender systems help people find relevant content in a personalized way. One main
promise of such systems is that they are able to increase the visibility of items in the long tail …
promise of such systems is that they are able to increase the visibility of items in the long tail …
Health information transformation system
JC Murrish, K Kailasam, DS McNair, MA Ash… - US Patent …, 2020 - Google Patents
Methods, computer systems, and computer readable media for transforming raw healthcare
data into relevant healthcare data are provided. Transformation of raw healthcare data into …
data into relevant healthcare data are provided. Transformation of raw healthcare data into …
A hybrid recommendation approach for a tourism system
Many current e-commerce systems provide personalization when their content is shown to
users. In this sense, recommender systems make personalized suggestions and provide …
users. In this sense, recommender systems make personalized suggestions and provide …
Identifying risk factors for adverse diseases using dynamic rare association rule mining
The increase in mortality rate due to life-threatening diseases has become an issue of
concern in today's world. Early detection and diagnosis of diseases thus becomes …
concern in today's world. Early detection and diagnosis of diseases thus becomes …
[PDF][PDF] Modern applications and challenges for rare itemset mining
Data mining is the process of extracting useful unknown knowledge from large datasets.
Frequent itemset mining is the fundamental task of data mining that aims at discovering …
Frequent itemset mining is the fundamental task of data mining that aims at discovering …
Behavior-based clustering and analysis of interestingness measures for association rule mining
A number of studies, theoretical, empirical, or both, have been conducted to provide insight
into the properties and behavior of interestingness measures for association rule mining …
into the properties and behavior of interestingness measures for association rule mining …
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms
Frequent patterns are an important class of regularities that exist in a transaction database.
Certain frequent patterns with low minimum support (minsup) value can provide useful …
Certain frequent patterns with low minimum support (minsup) value can provide useful …
Computerized systems and methods for facilitating clinical decision making
JC Murrish, DS McNair, K Kailasam - US Patent 10,431,336, 2019 - Google Patents
A system, method, and computer-readable media are provided for facilitating clinical
decision making, and in particular, facilitating treatment of a person having congestive heart …
decision making, and in particular, facilitating treatment of a person having congestive heart …
Dynamically determining risk of clinical condition
DS McNair, JC Murrish, K Kailasam - US Patent 10,483,003, 2019 - Google Patents
Abstract Systems, methods and computer-readable media are provided for facilitating
clinical decision support and managing patient population health by health-related entities …
clinical decision support and managing patient population health by health-related entities …
Mining significant association rules from educational data using critical relative support approach
Least association rules are the association rules that consist of the least item. These rules
are very important and critical since they can be used to detect the infrequent events and …
are very important and critical since they can be used to detect the infrequent events and …