Results 51 to 60 of about 43,860 (295)

A Search Space Reduced Algorithm for Mining Frequent Patterns [PDF]

, 2013
Mining frequent patterns is to discover the groups of items appearing always together excess of a user specified threshold. Many approaches have been proposed for mining frequent patterns by applying the FP-tree structure to improve the efficiency of the
Yen, Show-Jane, Yen, Show-Jane; Wang, Chiu-Kuang; Ouyang, Liang-Yuh   +1 more
core  

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

A frequent pattern mining algorithm based on FP-growth without generating tree [PDF]

, 2010
An interesting method to frequent pattern mining without generating candidate pattern is called frequent-pattern growth, or simply FP-growth, which adopts a divide-and-conquer strategy as follows.First, it compresses the database representing frequent ...
Ibrahim, Hamidah, Tohid, Hossein, Tohidi, Hossein   +2 more
core  

A Novel Frequent Pattern Mining Algorithm for Evaluating Applicability of a Mobile Learning Framework

, 2023
The applicability of a mobile learning system reflects how it works in an actual situation under diverse conditions In previous studies researches for evaluating applicability in learning systems using data mining approaches are challenging to find ...
D.D.M. Dolawattha, H. K. Salinda Premadasa   +1 more
core  

Association Analysis of Food Risk Factors Based on Improved FP-growth Algorithm [PDF]

Shipin Kexue
In order to solve the problems of strong subjectivity and low targeting in sampling decision-making that exist in food safety surveillance sampling, this study proposed a correlation analysis method based on an improved Frequent Pattern-growth (FP-growth)
YU Jiabin, MA Xinyue, ZHAO Zhiyao, WANG Xiaoyi, ZHANG Xin, CUI Xiaoyu, BAI Yuting, CHEN Shuaixiang
doaj   +1 more source

Using Factor Decomposition Machine Learning Method to Music Recommendation

Complexity, 2021
The user data mining was introduced into the model construction process, and the user behavior was decomposed by analyzing various influencing factors through the factorization machine (FM) learning method.
Dapeng Sun
doaj   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

ANALISIS DAN IMPLEMENTASI ALGORITMA FREQUENT PATTERN GROWTH* (FP-GROWTH*) UNTUK MENDAPATKAN FREQUENT ITEMSET PADA DATA MINING ASSOCIATION RULE THE ANALYSIS AND IMPLEMENTATION OF FREQUENT PATTERN GROWTH* (FP-GROWTH*) ALGORITHM TO OBTAIN FREQUENT ITEMSET IN [PDF]

, 2006
ABSTRAKSI: Masalah utama pada data mining association rule adalah bagaimana menemukan kaidah asosiasi yang mengidentifikasi keterhubungan diantara kumpulan item.
ASRI HIDAYAT
core  

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Mining FaultTolerant Frequent Patterns using Pattern Growth Approach

, 2008
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration and support counting of candidate FT-patterns. Previous studies on mining FT
Zahid Halim, A. Rauf Baig, Shariq Bashir
core   +1 more source