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STREAM MINING ON ENVRONMENTAL DATA
"... This paper addresses a problem of environmental data analysis, where the data is obtained from different data sources including sensor measurements. We propose a framework for stream mining on environmental data and illustrate its applicability on real-world datasets. Moreover, in collaboration with ..."
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This paper addresses a problem of environmental data analysis, where the data is obtained from different data sources including sensor measurements. We propose a framework for stream mining on environmental data and illustrate its applicability on real-world datasets. Moreover, in collaboration
Data Stream Mining
"... which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This research aims to describe a new design of data streammining system that can analyze medical data stream and make real-time prediction. The motivation of the research is du ..."
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are case-based data mining systems. They only can analyze finite and structured data set and can only work well in their early years and can hardly meet today’s medical requirement. In this paper, we describe a clinical-support-system based data stream mining technology; the design has taken into account
Data Stream Mining: the Bounded Rationality
, 2012
"... The developments of information and communication technologies dramatically change the data collection and processing methods. Data mining is now moving to the era of bounded rationality. In this work we discuss the implications of the resource constraints impose by the data stream computational mod ..."
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The developments of information and communication technologies dramatically change the data collection and processing methods. Data mining is now moving to the era of bounded rationality. In this work we discuss the implications of the resource constraints impose by the data stream computational
Task Graphs of Stream Mining Algorithms
"... Acceleration of huge data analysis, especially an analysis of huge, and fast streaming data is one of the major issues in recent computer science. Proper modeling, and understanding of streaming data analysis are indispensable for speed-up, scale out, and faster response time of streaming data analy ..."
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. This paper proposes a task graph for stream mining algorithms with some examples of actual applications. A task graph represents a workload of the target application with data dependencies, and control flows. This is the first proposal of task graphs for stream mining algorithms, and the task graphs play
A Data Stream Mining System
, 2008
"... On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difficult research challenges. The proposed system addresses these challenges by an architecture based on three main technical ..."
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Cited by 4 (2 self)
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On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difficult research challenges. The proposed system addresses these challenges by an architecture based on three main
Data Streams: Algorithms and Applications
, 2005
"... In the data stream scenario, input arrives very rapidly and there is limited memory to store the input. Algorithms have to work with one or few passes over the data, space less than linear in the input size or time significantly less than the input size. In the past few years, a new theory has emerg ..."
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Cited by 533 (22 self)
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analysis, mining text message streams and processing massive data sets in general. Researchers in Theoretical Computer Science, Databases, IP Networking and Computer Systems are working on the data stream challenges. This article is an overview and survey of data stream algorithmics and is an updated
Adaptive, hands-off stream mining
- In VLDB
, 2003
"... Sensor devices and embedded processors are becoming ubiquitous, especially in measurement and monitoring applications. Automatic discovery of patterns and trends in the large volumes of such data is of paramount importance. The combination of relatively limited resources (CPU, memory and/or communic ..."
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Cited by 46 (5 self)
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year, ” which a human might recognize as, e.g., the Mother’s day surge. When possible and if desired, the user can then issue explicit queries to further investigate the reported patterns. In this work we propose AWSOM (Arbitrary Window Stream mOdeling Method), which allows sensors operating in remote
Stream Mining via Density Estimators:
"... A concrete Application Many real-world applications share the property that the data they process arrives in streams. The transient and volatile nature of these streams renders the application of common processing and analysis techniques difficult. In particular, the mining of streams has proved to ..."
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A concrete Application Many real-world applications share the property that the data they process arrives in streams. The transient and volatile nature of these streams renders the application of common processing and analysis techniques difficult. In particular, the mining of streams has proved
Output Privacy Protection in Stream Mining
"... Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The latter refers to preventing the mining output (model/pattern) from malicious pattern-based inference attacks. The preservation of in ..."
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Cited by 1 (0 self)
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of input privacy does not necessarily lead to that of output privacy. This work studies the problem of protecting output privacy in the context of frequent pattern mining over data streams. After exposing the privacy breaches existing in current stream mining systems, we propose Butterfly, a light
BFSiena: a Communication Substrate for StreamMine
"... StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. BFSiena is a content-based, publish/subscribe communication system which provides support for arbitrary predicate based mes-saging in the acyc ..."
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StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. BFSiena is a content-based, publish/subscribe communication system which provides support for arbitrary predicate based mes
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