Results 41 to 50 of about 1,890,534 (259)
Route Recommendation Method Based on Frequent Trajectory Sequence Pattern Mining
Taiyuan Ligong Daxue xuebao, 2022 Travel route recommendation is one of the important research contents in the field of intelligent transportation. Traditional route recommendation methods often recommend routes on the basis of a single factor such as the shortest route or the shortest ...
Zongtao DUAN +5 more
doaj +1 more source
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy [PDF]
, 2010 This paper describes an approach to temporal pattern mining using the concept of user defined temporal prototypes to define the nature of the trends of interests.
F.P. Coenen +13 more
core +1 more source
Extraction of Opinion Targets Based on Frequent Sub-tree Pattern [PDF]
Jisuanji gongcheng, 2017 Most existing opinion target extraction methods are based on the heuristic rules or machine learning using features such as part of speech,morphology and etc.,but the defect of these methods is that deep association relationship mined by dependency ...
TIAN Weidong,MIAO Huijun
doaj +1 more source
Mining Representative Unsubstituted Graph Patterns Using Prior Similarity Matrix
, 2013 One of the most powerful techniques to study protein structures is to look for recurrent fragments (also called substructures or spatial motifs), then use them as patterns to characterize the proteins under study.
Dhifli, Wajdi +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Fast Single Pbase Algoritbm for Utility Mining in Big Data
Dianxin kexue, 2015 Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning ...
Junqiang Liu +3 more
doaj +2 more sources
A Bayesian mixture model for term re-occurrence and burstiness [PDF]
, 2005 This paper proposes a model for term reoccurrence in a text collection based on the gaps between successive occurrences of a term. These gaps are modeled using a mixture of exponential distributions.
De Roeck, Anne +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Reductions for Frequency-Based Data Mining Problems
, 2017 Studying the computational complexity of problems is one of the - if not the - fundamental questions in computer science. Yet, surprisingly little is known about the computational complexity of many central problems in data mining. In this paper we study
Miettinen, Pauli, Neumann, Stefan
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges +12 more
wiley +1 more source