Emerging Technologies in Knowledge Discovery and Data Mining
PAKDD 2007 International Workshops Nan**g, China, May 22-25, 2007 Revised Selected Papers
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448 Result(s)
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**qi Zhou
Computer Science
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
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Article
Mining Customer Value: From Association Rules to Direct Marketing
Direct marketing is a modern business activity with an aim to maximize the profit generated from marketing to a selected group of customers. A key to direct marketing is to select a subset of customers so as t...
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Article
A Mathematical Morphology Based Scale Space Method for the Mining of Linear Features in Geographic Data
This paper presents a spatial data mining method MCAMMO and its extension L_MCAMMO designed for discovering linear and near linear features in spatial databases. L_MCAMMO can be divided into two basic steps: f...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
11th Pacific-Asia Conference, PAKDD 2007, Nan**g, China, May 22-25, 2007. Proceedings
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Chapter and Conference Paper
CommonKADS Methodology for Develo** Power Grid Switching Orders Systems
Modeling knowledge and expertise is necessary but difficult in formation of switching operation orders in power systems. Switching operations of electrical components are very frequent in normal changes of ope...
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Chapter and Conference Paper
A Code-Based Multi-match Packet Classification with TCAM
Packet classification, especially multi-match packet classification has become a challenging problem in Network Intrusion Detection Systems(NIDSs). Because of the speed limitation of software based packet clas...
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Chapter and Conference Paper
Genetic Programming with 3σ Rule for Fault Detection
In this paper a new method is presented to solve a series of fault detection problems using 3σ rule in Genetic Programming (GP). Fault detection can be seen as a problem of multi-class classification. GP methods ...
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Chapter and Conference Paper
A Novel Method for 2DPCA-ICA in Face Recognition
In this paper, a novel method for independent component analysis (ICA) with 2-D Principle Component Analysis (2DPCA) in face recognition is presented, called 2DPCA-ICA. In this method, 2DPCA is used for dimens...
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Chapter and Conference Paper
Application of the Stress Waves to Extract Multi-fault Features of the Low-Speed Machinery Based on Blind Source Separation
This paper proposed a non-linear signal processing method to separate the stress wave signals from different sources for extracting the multi-fault features without any a priori knowledge. Firstly, stress wave...
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Chapter and Conference Paper
A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis
This paper put forwards a novel support vector machine ensemble construction method based on subtractive clustering analysis. Firstly, the training samples are clustered into several clusters according to thei...
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Chapter and Conference Paper
Progressive Subspace Skyline Clusters Mining on High Dimensional Data
Skyline queries have caused much attention for it helps users make intelligent decisions over complex data. Unfortunately, too many or too few skyline objects are not desirable for users to choose. Practically...
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Chapter and Conference Paper
Proposion and Analysis of a TCP Feature of P2P Traffic
Over the last years, the wide use of the P2P application has lead to the rapid growth of network traffic. Thus, the accurate classification of P2P traffic becomes a challenging problem. This paper proposes som...
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Chapter and Conference Paper
A Hierarchical Clustering Algorithm Based on GiST
The hierarchical clustering is an important method of clustering analysis. This kind of method can decompose the data into different levels, and the clustering result has a hierarchical coarseness to fine repr...
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Chapter and Conference Paper
A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition
Recognizing patient samples with gene expression profiles is used to cancer diagnosis and therapy. In the high dimensional, huge redundant and noisy gene expression data the cancerogenic factor’s locality is s...
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Chapter and Conference Paper
A Hybrid Command Sequence Model for Anomaly Detection
A new anomaly detection method based on models of user behavior at the command level is proposed as an intrusion detection technique. The hybrid command sequence (HCS) model is trained from historical session ...
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Chapter and Conference Paper
An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix
Selecting a small number of discriminative genes from thousands of genes in microarray data is very important for accurate classification of diseases or phenotypes. In this paper, we provide more elaborate and...
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Chapter and Conference Paper
Evaluate Structure Similarity in XML Documents with Merge-Edit-Distance
XML language is widely used as a standard for data representation and exchange among Web applications. In recent years, many efforts have been spent in querying, integrating and clustering XML documents. Measu...
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Chapter and Conference Paper
Interpreting Metaphors in a New Semantic Theory of Concept
We present a formalism of metaphor that is based on a newly developed semantic interpretation of concept in the line of Montague’s type theory, and exposit the role that metaphoric expressions play in linking ...
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Chapter and Conference Paper
PANTO: A Portable Natural Language Interface to Ontologies
Providing a natural language interface to ontologies will not only offer ordinary users the convenience of acquiring needed information from ontologies, but also expand the influence of ontologies and the sema...
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Chapter and Conference Paper
A Framework for Modeling Positive Class Expansion with Single Snapshot
In many real-world data mining tasks, the coverage of the target concept may change as the time changes. For example,the coverage of “learned knowledge” of a student today may be different from his/er “learned...
