Results 21 to 30 of about 2,022,125 (263)
Parallel Incremental Mining of Regular-Frequent Patterns from WSNs Big Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Efficient regular-frequent pattern mining from sensors-produced data has become a challenge. The large volume of data leads to prolonged runtime, thus delaying vital predictions and decision makings which need an immediate response.
Sadegh Rahmani-Boldaji +2 more
doaj +1 more source
Approximation of Probabilistic Maximal Frequent Itemset Mining Over Uncertain Sensed Data
IEEE Access, 2020 Event detection by discovering frequent itemsets is very popular in sensor network communities. However, the recorded data is often a probability rather than a determined value in a really productive environment as sensed data is often affected by noise.
Sheng Chen +4 more
doaj +1 more source
Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
Algorithms, 2023 Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’
Antiopi Panteli, Basilis Boutsinas
doaj +1 more source
An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns
IEEE Access, 2020 Mining frequent inter-transaction patterns (ITPs) from large databases is both useful and of interest. Since frequent inter-transaction patterns (FITPs) are discovered across transactions in a transaction database (TD), the number of patterns is very ...
Thanh-Ngo Nguyen +4 more
doaj +1 more source
A New Fast Vertical Method for Mining Frequent Patterns [PDF]
International Journal of Computational Intelligence Systems, 2010 Vertical mining methods are very effective for mining frequent patterns and usually outperform horizontal mining methods. However, the vertical methods become ineffective since the intersection time starts to be costly when the cardinality of tidset (tid-
Zhihong Deng, Zhonghui Wang
doaj +1 more source
An Optimization of Closed Frequent Subgraph Mining Algorithm
Cybernetics and Information Technologies, 2017 Graph mining isamajor area of interest within the field of data mining in recent years. Akey aspect of graph mining is frequent subgraph mining. Central to the entire discipline of frequent subgraph mining is the concept of subgraph isomorphism.
Demetrovics J. +3 more
doaj +1 more source
Seizure related injuries – Frequent injury patterns, hospitalization and therapeutic aspects
Chinese Journal of Traumatology, 2022 Purpose: Epileptic seizures frequently result in distinct physical injuries, fractures, traumatic brain injuries and minor trauma. The aim of this study was to retrospectively determine the frequent injury patterns due to seizure episode and to analyze ...
Nils Mühlenfeld +6 more
doaj +1 more source
Mining Frequent Graph Patterns with Differential Privacy [PDF]
, 2013 Discovering frequent graph patterns in a graph database offers valuable information in a variety of applications. However, if the graph dataset contains sensitive data of individuals such as mobile phone-call graphs and web-click graphs, releasing ...
Geweke J. +5 more
core +1 more source
Mining Frequent Sequential Patterns [PDF]
Journal of Big Data Research, 2021 In recent times, the urge to collect data and analyze it has grown. Time stamping a data set is an important part of the analysis and data mining as it can give information that is more useful. Different mining techniques have been designed for mining time-series data, sequential patterns for example seeks relationships between occurrences of ...
Rajae KRIBII, Youssef FAKIR
openaire +1 more source
Frequent Patterns Mining in DNA Sequence
IEEE Access, 2019 As a common biological sequence, DNA sequences contain important information. The discovery of frequent patterns in DNA sequences can help to study the evolution, function and variation of genes.
Na Deng +3 more
doaj +1 more source