نتایج جستجو برای: fp growth algorithm

تعداد نتایج: 1564532  

Journal: :Cancer research 2005
Kurt J Sales Tammy List Sheila C Boddy Alistair R W Williams Richard A Anderson Zvi Naor Henry N Jabbour

Prostaglandins have been implicated in several neovascular diseases. In the present study, we found elevated FP receptor and vascular endothelial growth factor (VEGF) expression colocalized in glandular epithelial and vascular cells lining the blood vessels in endometrial adenocarcinomas. We investigated the signaling pathways activated by the FP receptor and their role in modulating VEGF expre...

2012
Lan Vu Gita Alaghband

Frequent pattern mining is crucial part of association rule mining and other data mining tasks with many practical applications. Current popular algorithms for frequent pattern mining perform differently: some are good for dense databases while the others are ideal for sparse ones. In our previous research, we developed a new frequent pattern mining algorithm named FEM that runs fast on both sp...

2002
Margaret E. Greene

That men figure in a list of the “hardly reached” in reproductive health (RH) testifies to the complex history and politics of this field. It is true that RH services have tended to overlook men and concentrate their efforts on women. Yet family planning (FP) services were often delivered in an expedient manner, not to serve women’s needs, but to reduce population growth. The field’s traditiona...

Journal: :Tropical medicine & international health : TM & IH 2003
Yves Lafort Youssouf Sawadogo Thérèse Delvaux Bea Vuylsteke Marie Laga

OBJECTIVES To evaluate the quality and usefulness of integrated sexually transmitted infection (STI) care at non-governmental family planning (FP) clinics in Côte d'Ivoire. METHODS Evaluation components included: (1) a survey measuring the prevalence of STI and the predictive value of the Ivorian vaginal discharge treatment algorithm, (2) client exit interviews, (3) direct observations of cli...

Journal: :CoRR 2015
Brian Swenson Soummya Kar João M. F. Xavier

The paper studies the highly prototypical Fictitious Play (FP) algorithm, as well as a broad class of learning processes based on best-response dynamics, that we refer to as FP-type algorithms. A well-known shortcoming of FP is that, while players may learn an equilibrium strategy in some abstract sense, there are no guarantees that the period-by-period strategies generated by the algorithm act...

2007
SIGURDUR FREYR HAFSTEIN

In this monograph we develop an algorithm for constructing Lyapunov functions for arbitrary switched dynamical systems ẋ = fσ(t,x), possessing a uniformly asymptotically stable equilibrium. Let ẋ = fp(t,x), p ∈ P, be the collection of the ODEs, to which the switched system corresponds. The number of the vector fields fp on the right-hand side of the differential equation is assumed to be finite...

Journal: :The IJICS (International Journal of Informatics and Computer Science) 2022

Market Basket Analysis is an analysis of consumer behavior specifically from a certain group/group. generally used as starting point for seeking knowledge data transaction when we do not know what specific pattern are looking for. in this study applied to the search patterns purchasing groceries at grocery stores and then analyzed by season. This aims compare Apriori, Apriori TID FP-Growth meth...

Background: In recent years the growing trend of colon cancer has revealed that we need some safe and new methods to detect and control this disease. Data mining is one of these methods, one of its most important applications is the discovery of hidden patterns between data in a large database. In this study, we explore and discover unknown patterns in a real colon cancer data set. Methods: In...

2014
Ritu Shukla

Over the past few decades, to computerized diagnostic tools, intended to aid expert in making sense out of the welter of data. Due to improvements in biometric instrumentation and automation, it is easy to collect a lot of experimental data in molecular biology. It is extremely important for Analysis of such data as it leads to knowledge discovery that can be validated by experiments. Several m...

2016
A. Monisha B. S. Sangeetha

Recently there has been a growing interest in designing differentially private data mining algorithms. A variety of algorithms have been proposed for mining frequent itemsets. Frequent itemset mining (FIM) is one of the most fundamental problems in data mining. It has practical importance in a wide range of application areas such as decision support, web usage mining, bioinformatics, etc. In th...

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