Results 21 to 30 of about 238,473 (148)
Deterministic, Fast and Accurate Solution of the Heavy Hitters
IEEE Access, 2022 The heavy hitters $q$ -tail latencies problem has been introduced recently. This problem, framed in the context of data stream monitoring, requires approximating the quantiles of the heavy hitters items of an input stream whose elements are pairs (item,
Anna Fornaio +3 more
doaj +1 more source
Data Provenance and Management in Radio Astronomy: A Stream Computing Approach [PDF]
, 2011 New approaches for data provenance and data management (DPDM) are required for mega science projects like the Square Kilometer Array, characterized by extremely large data volume and intense data rates, therefore demanding innovative and highly efficient
Biem, Alain +4 more
core +2 more sources
Autonomous Sensor Data Cleaning in Stream Mining Setting
Business Systems Research, 2018 Background: Internet of Things (IoT), earth observation and big scientific experiments are sources of extensive amounts of sensor big data today. We are faced with large amounts of data with low measurement costs.
Kenda Klemen, Mladenić Dunja
doaj +1 more source
Journal of Electrical and Computer Engineering, 2020 Data stream mining has become a research hotspot in data mining and has attracted the attention of many scholars. However, the traditional data stream mining technology still has some problems to be solved in dealing with concept drift and concept ...
Xiangjun Li +4 more
doaj +1 more source
A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data
International Journal of Computational Intelligence Systems, 2019 High utility sequential pattern (HUSP) mining has emerged as a novel topic in data mining, its computational complexity increases compared to frequent sequences mining and high utility itemsets mining.
Huijun Tang, Yangguang Liu, Le Wang
doaj +1 more source
Research on detection and integration classification based on concept drift of data stream
EURASIP Journal on Wireless Communications and Networking, 2019 As a new type of data, data stream has the characteristics of massive, high-speed, orderly, and continuous and is widely distributed in sensor networks, mobile communication, financial transactions, network traffic analysis, and other fields.
Baoju Zhang, Yidi Chen
doaj +1 more source
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]
, 2009 Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the ...
Ise, Masayuki +3 more
core
CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface [PDF]
, 2014 Big data needs to feed users with fresh processing results and cloud platforms can be used to speed up big data applications. This paper describes a new data communication protocol (CloudJet) for long distance and large volume big data accessing ...
Dimitrakos, Theo +5 more
core +2 more sources
Collaborative data stream mining in ubiquitous environments using dynamic classifier selection [PDF]
, 2013 In ubiquitous data stream mining applications, different devices often aim to learn concepts that are similar to some extent. In these applications, such as spam filtering or news recommendation, the data stream underlying concept (e.g., interesting ...
Bártolo Gomes, Joao Paulo +3 more
core +2 more sources
Mathematics, 2023 Data stream mining deals with processing large amounts of data in nonstationary environments, where the relationship between the data and the labels often changes.
Muhammad Zafran Muhammad Zaly Shah +4 more
doaj +1 more source