Results 11 to 20 of about 110,266 (316)
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs
To maintain and improve an amateur athlete’s fitness throughout training and to achieve peak performance in sports events, good nutrition and physical activity (general and training specifically) must be considered as important factors.
Phuc-Thinh Nguyen +8 more
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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases [PDF]
Mining interesting patterns from DNA sequences is one of the most challenging tasks in bioinformatics and computational biology. Maximal contiguous frequent patterns are preferable for expressing the function and structure of DNA sequences and hence can ...
Md. Rezaul Karim +3 more
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Mining Conjunctive Sequential Patterns [PDF]
In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative example: in the context of frequent sequences, the notion of non-derivability is meaningless. Therefore, we extend our focus to the mining of conjunctions of sequences.
Chedy Raïssi +2 more
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A Rule-Based Approach for Mining Creative Thinking Patterns from Big Educational Data
Numerous studies have established a correlation between creativity and intrinsic motivation to learn, with creativity defined as the process of generating original and valuable ideas, often by integrating perspectives from different fields.
Nasrin Shabani +5 more
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Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem
Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information and speeding up the search ...
Asma Belhadi +4 more
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Given a co-location pattern consisting of spatial features, the prevalent region mining process identifies local areas in which these features are co-located with a high probability.
Wenhao Yu
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A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop
High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, which is inefficient for big ...
Zaihe Cheng +3 more
doaj +1 more source
Proof Learning in PVS with Utility Pattern Mining [PDF]
Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
Zhang, Ji +2 more
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A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification
The problem of unmanned supervision of maritime areas has attracted the interest of researchers for the last few years, mainly thanks to the advances in vessel monitoring that the Automatic Identification System (AIS) has brought.
Konstantinos Kapadais +3 more
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Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns
The monitoring of the daily life activities routine is beneficial, especially in old age. It can provide relevant information on the person’s health state and wellbeing and can help identify deviations that signal care deterioration or incidents that ...
Viorica Rozina Chifu +6 more
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