1,538 Result(s)
within
Conference Paper
Jian** **
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Planning with Domain Rules Based on State-Independent Activation Sets
In AI planning community, planning domains with derived predicates are very challenging to many planning system. Derived predicate is a new application of domain rules and domain knowledge acquisition. In this...
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Chapter and Conference Paper
Extracting Minimum Unsatisfiable Cores with a Greedy Genetic Algorithm
Explaining the causes of infeasibility of Boolean formulas has practical applications in various fields. We are generally interested in a minimum explanation of infeasibility that excludes irrelevant informati...
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Chapter and Conference Paper
Hybrid O( \(n \sqrt{n}\) ) Clustering for Sequential Web Usage Mining
We propose a natural neighbor inspired O( \(n \sqrt{n}\) ) hybrid clustering algorithm that combines medoid-based partiti...
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Chapter and Conference Paper
Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis
ROC (Receiver Operating Characteristic) has been used as a tool for the analysis and evaluation of two-class classifiers, even the training data embraces unbalanced class distribution and cost-sensitiveness. H...
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Chapter and Conference Paper
Clustering Massive Text Data Streams by Semantic Smoothing Model
Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organization and topic detection and tracing e...
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Chapter and Conference Paper
Pattern Recognition in Stock Data Based on a New Segmentation Algorithm
In trying to find the features and patterns within the stock time series, time series segmentation is often required as one of the fundamental components in stock data mining. In this paper, a new stock time s...
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Chapter and Conference Paper
Recognition of JPEG Compressed Face Images Based on AdaBoost
This paper presents an advanced face recognition system based on AdaBoost algorithm in the JPEG compressed domain. First, the dimensionality is reduced by truncating some of the block-based DCT coefficients an...
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Chapter and Conference Paper
PPN 2007 PC Co-chairs’ Message
Welcome to the proceedings of the 1st International Workshop on Peer-to-Peer Networks (PPN 2007). The workshop was held in conjunction with the On The Move Federated Conference and Workshops (OTM2007), Novembe...
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Chapter and Conference Paper
Spectral Edit Distance Method for Image Clustering
The spectral graph theories have been widely used in the domain of image clustering where editing distances between graphs are critical. This paper presents a method for spectral edit distance between the grap...
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Chapter and Conference Paper
An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting
The base classifier, which is trained by AdaBoost ensemble learning algorithm, has a constant weight for all test instances. From the view of iterative process of AdaBoost, every base classifier has good class...
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Chapter and Conference Paper
Camera Motion Analysis Towards Semantic-Based Video Retrieval in Compressed Domain
To reduce the semantic gap between low-level visual features and the richness of human semantics, this paper proposes new algorithms, by virtue of the combined camera motion descriptors with multi-threshold, t...
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Chapter and Conference Paper
Reduction Based Symbolic Value Partition
Theory of Rough Sets provides good foundations for the attribute reduction processes in data mining. For numeric attributes, it is enriched with appropriately designed discretization methods. However, not much...
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Chapter and Conference Paper
(α, k)-anonymity Based Privacy Preservation by Lossy Join
Privacy-preserving data publication for data mining is to protect sensitive information of individuals in published data while the distortion to the data is minimized. Recently, it is shown that (α,k)-anonymity i...
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Chapter and Conference Paper
Mining Invisible Tasks from Event Logs
Most existing process mining algorithms have problems in dealing with invisible tasks. In this paper, a new process mining algorithm named α # is proposed, which extends the mining capacity of the...
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Chapter and Conference Paper
Transforming the Adaptive Irregular Out-of-Core Applications for Hiding Communication and Disk I/O
In adaptive irregular out-of-core applications, communications and mass disk I/O operations occupy a large portion of the overall execution. This paper presents a program transformation scheme to enable overla...
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Chapter and Conference Paper
Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree
In the applications of sensor networks, outlier detection has attracted more and more attention. The identification of outliers can be used to filter false data, find faulty nodes and discover interesting even...
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Chapter and Conference Paper
Inferring Gene Regulatory Networks from Multiple Data Sources Via a Dynamic Bayesian Network with Structural EM
Using our dynamic Bayesian network with structural Expectation Maximization (SEM-DBN), we develop a new framework to model gene regulatory network from both gene expression data and transcriptional factor bind...
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Chapter and Conference Paper
Clustering-Based K-Anonymisation Algorithms
K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of such methods are clustering-based. These m...
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Chapter and Conference Paper
Collaborative Scenario Building: The Case of an ‘Advertainment’ Portal
Based on the ongoing development of a portal intended for use during the upcoming Olympics event in 2008, the portal’s main purpose is to allow volunteers, spectators, or any other participants of the Bei**g ...
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Chapter and Conference Paper
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating classification rules. Second,...
