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2,166
Mining Concept-Drifting Data Streams Using Ensemble Classifiers
, 2003
"... Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud protection, target marketing, network intrusion detection, etc. Conventional knowledge discovery tools are facing two ch ..."
Abstract
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Cited by 280 (37 self)
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Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud protection, target marketing, network intrusion detection, etc. Conventional knowledge discovery tools are facing two
Semantic foundations of concurrent constraint programming
, 1990
"... Concurrent constraint programming [Sar89,SR90] is a sim-ple and powerful model of concurrent computation based on the notions of store-as-constraint and process as information transducer. The store-as-valuation conception of von Neu-mann computing is replaced by the notion that the store is a constr ..."
Abstract
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Cited by 276 (27 self)
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(augment the store with a new constraint). This is a very general paradigm which subsumes (among others) nonde-terminate data-flow and the (concurrent) (constraint) logic programming languages. This paper develops the basic ideas involved in giving a coherent semantic account of these languages. Our first
Achieving scalability and expressiveness in an Internet-scale event notification service
- In Proceedings of the Nineteenth Annual ACM Symposium on Principles of Distributed Computing
, 2000
"... carzanig @ cs.colorado.edu This paper describes the design of SIENA, an Internet-scale event notification middleware service for distributed event-based applications deployed over wide-area networks. SIENA is responsible for selecting the notifications that are of in-terest to clients (as expressed ..."
Abstract
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Cited by 244 (10 self)
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carzanig @ cs.colorado.edu This paper describes the design of SIENA, an Internet-scale event notification middleware service for distributed event-based applications deployed over wide-area networks. SIENA is responsible for selecting the notifications that are of in-terest to clients (as expressed
Developments in the Measurement of Subjective Well-Being
- Psychological Science.
, 1993
"... F or good reasons, economists have had a long-standing preference for studying peoples' revealed preferences; that is, looking at individuals' actual choices and decisions rather than their stated intentions or subjective reports of likes and dislikes. Yet people often make choices that b ..."
Abstract
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Cited by 284 (7 self)
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desire loses some of its appeal. Direct reports of subjective well-being may have a useful role in the measurement of consumer preferences and social welfare, if they can be done in a credible way. Indeed, economists have already made much use of subjective well-being data. From 2001 to 2005, more than
Knowledge Discovery in Databases: An Attribute-Oriented Approach
, 1992
"... Knowledge discovery in databases, or data mining, is an important issue in the development of data- and knowledge-base systems. An attribute-oriented induction method has been developed for knowledge discovery in databases. The method integrates a machine learning paradigm, especially learning-from- ..."
Abstract
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Cited by 176 (15 self)
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Knowledge discovery in databases, or data mining, is an important issue in the development of data- and knowledge-base systems. An attribute-oriented induction method has been developed for knowledge discovery in databases. The method integrates a machine learning paradigm, especially learning
Automatic Soccer Video Analysis and Summarization
- IEEE Trans. on Image Processing
, 2003
"... We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level soccer video processing algorithms, such as dominant color region detection, robust sho ..."
Abstract
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Cited by 222 (5 self)
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the expense of more computation). The efficiency, effectiveness, and the robustness of the proposed framework are demonstrated over a large data set, consisting of more than 13 hours of soccer video, captured at different countries and conditions.
Event dashboard: Capturing user-defined semantics events for event detection over real-time sensor data
"... Abstract. Sensor networks provide the ability to observe physical phenomena in real-time and provide useful information to help conservation and management of environmental resources. However, sensor data meaning, format and interface heterogeneity are barriers to effective discovery and analysis of ..."
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of events of interest. We propose a web-based user application, the Event Dashboard, which facilitates user capture semantics for events of interest over a sensor network. The Event Dashboard user interface is driven by a set of ontologies, which provide metadata about relevant domain concepts
Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images
"... Analysis and detection of complex events in videos require a se-mantic representation of the video content. Existing video seman-tic representation methods typically require users to pre-define an exhaustive concept lexicon and manually annotate the presence of the concepts in each video, which is i ..."
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Cited by 5 (2 self)
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. We show significant performance gains of the proposed concept discovery method over different video event detection tasks including supervised event modeling over concept space and semantic based zero-shot retrieval without training ex-amples. Importantly, we show the proposed method of automatic
A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data
, 2004
"... There are several aspects that might influence the performance achieved by existing learning systems. It has been reported that one of these aspects is related to class imbalance in which examples in training data belonging to one class heavily outnumber the examples in the other class. In this situ ..."
Abstract
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Cited by 191 (3 self)
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. In this situation, which is found in real world data describing an infrequent but important event, the learning system may have di#culties to learn the concept related to the minority class. In this work we perform a broad experimental evaluation involving ten methods, three of them proposed by the authors, to deal
Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection
"... We focus on detecting complex events in uncon-strained Internet videos. While most existing works rely on the abundance of labeled training data, we consider a more difficult zero-shot setting where no training data is supplied. We first pre-train a number of concept classifiers using data from othe ..."
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Cited by 1 (1 self)
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We focus on detecting complex events in uncon-strained Internet videos. While most existing works rely on the abundance of labeled training data, we consider a more difficult zero-shot setting where no training data is supplied. We first pre-train a number of concept classifiers using data from
Results 1 - 10
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2,166
