Results 11 to 20 of about 935,434 (195)
Efficient mining fuzzy association rules from ubiquitous data streams
Alexandria Engineering Journal, 2015 Due to the development in technology, a number of applications such as smart mobile phone, sensor networks and GPS devices produce huge amount of ubiquitous data in the form of streams. Different from data in traditional static databases, ubiquitous data
Amal Moustafa +2 more
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A Real-Time Query Log Protection Method for Web Search Engines
IEEE Access, 2020 Web search engines (e.g., Google, Bing, Qwant, and DuckDuckGo) may process a myriad of search queries per second. According to Internet Live Stats, Google handles more than two hundred million queries per hour, i.e., about two trillion queries per year ...
David Pamies-Estrems +2 more
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Sensors, 2021 Human activity recognition (HAR) by wearable sensor devices embedded in the Internet of things (IOT) can play a significant role in remote health monitoring and emergency notification to provide healthcare of higher standards.
Mariem Abid +7 more
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Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift
Information, 2019 Most existing multi-label data streams classification methods focus on extending single-label streams classification approaches to multi-label cases, without considering the special characteristics of multi-label stream data, such as label dependency ...
Yange Sun, Han Shao, Shasha Wang
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A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams
IEEE Access, 2021 The mining of frequent weighted patterns (FWPs) that considers the different semantic significance (weight) of items is more suitable for practice than the mining of frequent patterns. Therefore, it plays a vital role in real-world scenarios.
Huong Bui +4 more
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A Survey of Key Technologies for High Utility Patterns Mining
IEEE Access, 2020 Recently, high utility pattern mining (HUPM) is one of the most important research issues in data mining. Because it can consider the non-binary frequency values of items in a transaction and the different profit values of each item.
Chunyan Zhang +4 more
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Processing count queries over event streams at multiple time granularities [PDF]
, 2006 Management and analysis of streaming data has become crucial with its applications in web, sensor data, network tra c data, and stock market. Data streams consist of mostly numeric data but what is more interesting is the events derived from the ...
Saygın, Yücel +2 more
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Algorithm selection on data streams [PDF]
, 2014 We explore the possibilities of meta-learning on data streams, in particular algorithm selection. In a first experiment we calculate the characteristics of a small sample of a data stream, and try to predict which classifier performs best on the entire ...
Holmes, Geoffrey +3 more
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Unsupervised Anomaly Detection for Network Data Streams in Industrial Control Systems
Information, 2020 The development and integration of information technology and industrial control networks have expanded the magnitude of new data; detecting anomalies or discovering other valid information from them is of vital importance to the stable operation of ...
Limengwei Liu +3 more
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Sensors, 2018 Efficient matching of incoming events of data streams to persistent queries is fundamental to event stream processing systems in wireless sensor networks.
Fuyuan Xiao, Masayoshi Aritsugi
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