Results 71 to 80 of about 1,878,751 (279)
MISFP-Growth: Hadoop-Based Frequent Pattern Mining with Multiple Item Support
Applied Sciences, 2019 In practice, single item support cannot comprehensively address the complexity of items in large datasets. In this study, we propose a big data analytics framework (named Multiple Item Support Frequent Patterns, MISFP-growth algorithm) that uses Hadoop ...
Chen-Shu Wang, Jui-Yen Chang
doaj +1 more source
Mining frequent patterns in process models [PDF]
Information Sciences, 2019 Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models, retrieving a complex one, i.e., a hardly readable process model, can hinder the extraction of information.
David Chapela-Campa +2 more
openaire +2 more sources
A Fast Frequent Directions Algorithm for Low Rank Approximation
, 2018 Recently a deterministic method, frequent directions (FD) is proposed to solve the high dimensional low rank approximation problem. It works well in practice, but experiences high computational cost. In this paper, we establish a fast frequent directions
Chu, Delin, Teng, Dan
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source
Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
doaj +1 more source
Frequent Pattern Discovery in a Data Stream [PDF]
, 2012 Dolování frekventovaných vzorů z databází je již dobře prozkoumanou oblastí. Jak se však ukázalo, tyto algoritmy nejsou příliš vhodné pro zpracování proudu dat. Při dolování frekventovaných množin v proudu dat se musí udržovat kromě jednotlivých množin i
Dvořák, Michal
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
IEEE AccessTopic detection in social networks is extracting and summarizing frequent posts about an event or subject. Topic detection is a complex process and depends on language because it somehow needs to analyze text.
Elnaz Zafarani-Moattar +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Patients with ovarian cancer often present with massive ascites, leading to significant protein loss during surgical procedures. Although cell‐free concentrated ascites reinfusion therapy (CART) is used in palliative settings to mitigate protein loss, its application in intraoperative settings remains unexplored.
Yutaka Yoneoka +7 more
wiley +1 more source