Results 61 to 70 of about 1,890,534 (259)
A New Fast Vertical Method for Mining Frequent Patterns [PDF]
International Journal of Computational Intelligence Systems, 2010 Vertical mining methods are very effective for mining frequent patterns and usually outperform horizontal mining methods. However, the vertical methods become ineffective since the intersection time starts to be costly when the cardinality of tidset (tid-
Zhihong Deng, Zhonghui Wang
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Frequent Subgraph Mining in Outerplanar Graphs [PDF]
, 2010 In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining problem for tree datasets can be solved in incremental polynomial time, it ...
Horvath, Tamas +2 more
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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
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
Survey of differential privacy in frequent pattern mining
Tongxin xuebao, 2014 Frequent pattern mining is an exploratory problem in the field of data mining.However,directly releasing the discovered frequent patterns and the corresponding true supports may reveal the individuals’ privacy.The state-of-the-art solution for this ...
Li-ping DING, Guo-qing LU
doaj +2 more sources
Finding frequent trajectories by clustering and sequential pattern mining
Journal of Traffic and Transportation Engineering (English ed. Online), 2014 Data mining is a powerful emerging technology that helps to extract hidden information from a huge volume of historical data. This paper is concerned with finding the frequent trajectories of moving objects in spatio-temporal data by a novel method ...
Arthur A. Shaw, N.P. Gopalan
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A numerical method for frequent pattern mining [PDF]
, 2009 Frequent pattern mining is one of the active research themes in data mining. It plays an important role in all data mining tasks such as clustering, classification, prediction, and association analysis.
Mamat, Ali +3 more
core
Crisis Communication Patterns in Social Media during Hurricane Sandy
, 2017 Hurricane Sandy was one of the deadliest and costliest of hurricanes over the past few decades. Many states experienced significant power outage, however many people used social media to communicate while having limited or no access to traditional ...
Cebrian, Manuel +3 more
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Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle +5 more
wiley +1 more source
Mining Frequent Patterns Via Pattern Decomposition [PDF]
, 2005 Pattern decomposition is a data-mining technology that uses known frequent or infrequent patterns to decompose a long itemset into many short ones. It finds frequent patterns in a dataset in a bottom-up fashion and reduces the size of the dataset in each step.
Qinghua Zou, Wesley Chu
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