Results 41 to 50 of about 2,309,085 (285)
Secure Association Rule Sharing [PDF]
, 2004 The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns which we call restrictive rules. These restrictive rules must be protected before sharing since they are paramount for strategic decisions and need to remain private.
Oliveira, Stanley R. M. +2 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Granular association rules for multi-valued data
, 2013 Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should be dealt with in the process of rule mining.
Min, Fan, Zhu, William
core +1 more source
Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm
International Transactions on Electrical Energy Systems, 2022 As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation.
Qunfeng Wei, Bin Qi
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
EVALUATION AND OPTIMIZATION OF FREQUENT ASSOCIATION RULE BASED CLASSIFICATION
Asia-Pacific Journal of Information Technology and Multimedia, 2014 Deriving useful and interesting rules from a data mining system is an essential and important task. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules ...
Izwan Nizal Mohd Shaharanee +1 more
doaj +1 more source
Zhongguo shipin weisheng zazhi, 2022 ObjectiveTo analyze the correlation of muti-mycotoxin contamination in wheat， the co-contamination characteristics of different mycotoxins were studied.MethodsData mining analysis of the association between monitoring data for multiple mycotoxins ...
XUE Wenbo +7 more
doaj +1 more source
Efficient Incremental Breadth-Depth XML Event Mining
, 2011 Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining.
Boussaïd, Omar +2 more
core +2 more sources
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source
An Improved Apriori Algorithm for Association Rules
, 2014 There are several mining algorithms of association rules. One of the most popular algorithms is Apriori that is used to extract frequent itemsets from large database and getting the association rule for discovering the knowledge. Based on this algorithm,
Al-Maolegi, Mohammed, Arkok, Bassam
core +1 more source