The severity and number of intrusions on computer networks are rapidly increasing, which requires advances not only in detection algorithm, but also in automatic response techniques. In this paper, a new approach to a...
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A large number of techniques have been implemented mostly based on abundance of data statistics and they usually do not harness the semantic relationships between attributes. This paper proposes a novel ontology-based...
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Due to the structuring and semi-structuring of the most data contained in deep web, it's considerably much easier to extract and construct the ontology. The constructed ontology has multiple appliances, such as th...
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Due to the structuring and semi-structuring of the most data contained in deep web, it's considerably much easier to extract and construct the ontology. The constructed ontology has multiple appliances, such as the data integration, data extraction assistance and so on. During the process of constructing ontology, the matching of attribute is a significantly important step, the quality of whose result will directly affect ontology's quality. The method proposed in this paper works well on identifying and solving the cases of simple matching and complex matching. Experiment results approve that the ontology constructed under the instruction of this method is perfect, as well as effective.
Classification and prediction of different cancers based on gene expression profiles are important for cancer diagnosis, cancer treatment and medication discovery. The k nearest neighbor algorithm (k-NN) is one easy a...
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To find an optimal elimination ordering for Bayesian networks, a multi-heuristic-based ant colony system named MHC-HS-ACS is proposed. MHC-HS-ACS uses a set of heuristics to guide the ants to search solutions. The heu...
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Soil fertility grading is an important issue in the agriculture domain, AI based approach has been applied recently. But in most circumstance data obtaining is a expensive and time consuming procedure, sometimes even ...
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Soil fertility grading is an important issue in the agriculture domain, AI based approach has been applied recently. But in most circumstance data obtaining is a expensive and time consuming procedure, sometimes even impossible. This paper presents a Bayesian Network based transfer learning algorithm. The existing training results can be transferred between the nearby land squares. The proposed algorithm considers both the similarity between the learning task and the geographical position of the land squares. Empirical experiment were implemented to prove the efficiency of the algorithm.
This paper proposes a method of semi-automatic ontology construction based on text learning. Firstly, construct a core ontology by ontology tool, then extract domain related terms by both text classification method an...
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Most of the existing methods for community discovery only deal with social network with a fixed structure, so they can not effectively deal with dynamic social network. This paper proposes a Multi-agent system method ...
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Chip Multi-Processor (CMP) could support more than two threads to execute simultaneously, and some executing units are owned by each core. Because threads share various resources of CMP, such as L2-Cache, among many t...
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Chip Multi-Processor (CMP) could support more than two threads to execute simultaneously, and some executing units are owned by each core. Because threads share various resources of CMP, such as L2-Cache, among many threads, CMP system is inherently different from multiprocessors system and, CMP is also different from simultaneously multithreading (SMT). In this paper a novel and complete approach on how to parallelism for relational database multithreaded query execution that strives for maximum resource utilization for both CPU and disk activities. The focus of this approach is on how to use the multithreaded parallel technique to optimize and process queries based on multi-core architecture. A set of algorithms for implementing and optimizing the best query plan, such as the algorithms for scheduling and parallel executing the query plan, the algorithms for allocating thread to sub-query and memory to the buffers between operations in pipelining execution, are proposed in this method. Additionally this paper analysis and optimize the implementation of parallel buffers and multithread. In the experiments, this paper evaluates performance of the parallel buffers and tests the coordination of the multithread.
According to the characteristics of the optimal elimination ordering problem in Bayesian networks, a heuristic-based genetic algorithm, a cooperative coevolutionary genetic framework and five grouping schemes are prop...
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