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ASC
2011
13 years 7 months ago
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
Edwin Lughofer, Plamen P. Angelov
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 10 months ago
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Kh...
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 10 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
13 years 10 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
COMPSAC
2010
IEEE
13 years 10 months ago
Design and Implementation of a Middleware for Development and Provision of Stream-Based Services
This paper proposes MISSA, a novel middleware to facilitate the development and provision of stream-based services in emerging pervasive environments. The streambased services util...
Seungwoo Kang, Youngki Lee, Sunghwan Ihm, Souneil ...
TKDE
2010
151views more  TKDE 2010»
13 years 10 months ago
Duplicate-Insensitive Order Statistics Computation over Data Streams
—Duplicates in data streams may often be observed by the projection on a subspace and/or multiple recordings of objects. Without the uniqueness assumption on observed data elemen...
Ying Zhang, Xuemin Lin, Yidong Yuan, Masaru Kitsur...
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
13 years 11 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
INFOCOM
2010
IEEE
13 years 11 months ago
Scalable Modulation for Scalable Wireless Videocast
Abstract— In conventional wireless systems with layered architectures, the physical layer treats all data streams from upper layers equally and apply the same modulation and codi...
Lin Cai, Yuanqian Luo, Siyuan Xiang, Jianping Pan
INFOCOM
2010
IEEE
13 years 11 months ago
Distributed Resource Allocation for Synchronous Fork and Join Processing Networks
—Many emerging information processing applications require applying various fork and join type operations such as correlation, aggregation, and encoding/decoding to data streams ...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...
ISI
2008
Springer
13 years 11 months ago
Anomaly detection in high-dimensional network data streams: A case study
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Ji Zhang, Qigang Gao, Hai H. Wang