1,429 Result(s)
within
English
Computer Science
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Jian** **
Conference Paper
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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
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
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
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,...
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Chapter and Conference Paper
A Subjective and Objective Integrated Method for MAGDM Problems with Multiple Types of Exact Preference Formats
Group decision making with preference information on alternatives has become a very active research field over the last decade. Especially, the investigation on the group decision making problems based on diff...
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Chapter and Conference Paper
Exploiting Uncertain Data in Support Vector Classification
A new approach of input uncertainty classification is proposed in this paper. This approach develops a new technique which extends the support vector classification (SVC) by incorporating input uncertainties. ...
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Chapter and Conference Paper
Use of Chinese Short Messages
Short text message (SMS) as a key communication means in China received a lot of attention in research community. 114 subjects attended the study, sharing totally 10843 SMS they sent and received daily. We div...
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Chapter and Conference Paper
A Fast Reading Spatial Knowledge System by Ultrasonic Sound Beams
PC users can retrieve lots of common information by Internet search engines. A text-to-speech (TTS) system allows citizens to easily access the public report from the city etc. However it takes a long time for...
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Chapter and Conference Paper
An Efficient Dictionary Mechanism Based on Double-Byte
Dictionary is an efficient management of large sets of distinct strings in memory. It has significant influence on Natural Language Process, Information Retrieval and other areas. In this paper, we propose an ...
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Chapter and Conference Paper
Distributed Knowledge Management Based on Ontological Engineering and Multi-Agent System Towards Semantic Interoperation
Currently, the available architectures for knowledge management are mainly centralized and focus on basic string processing in essence. They tend to ignore that knowledge is distributed and full of semantics i...
