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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ya-Bo Liu Da-You Liu Hong Qi Fang-Ming Gu College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

ISBN: (纸本)0780384032

Both item-associations and user-associations mined from the rating table can be used to make personalized recommendation for the current user in rule-based recommend technique. Mining user-associations is the key for the recommendation based on user-associations. We find that the current user not only can be used to constrain the rule form in user-associations mining process, but also can be used to partition the rating table into two parts in order to accelerate user-associations mining. It is first proved that user-associations about the current user mined from the whole rating table are contained in those mined only from the data set that contain the current user's rating. Then, a user-association mining frame based on two-stage count called TSCF is proposed. TSCF frame can be implemented by using existing algorithms for mining association rules. And an algorithm TSCF-CL for mining user-associations is implemented by using the concept lattice. Last the performance comparison with ASARM algorithm shows that TSCF-CL can reach better time capacity.

关键词： Data mining Association rules Recommender systems Lattices Acceleration Filtering Computer science educational technology Laboratories knowledge engineering

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A modified particle swarm optimization for combining forecasting

A modified particle swarm optimization for combining forecas...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： X.Y. Feng L.M. Wan Y.C. Liang Y.F. Sun H.P. Lee Y. Wang Kollege of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China The 8th Research Institute of Air Force Beijing China Institute of High Performance Computing Singapore Singapore

A modified particle swarm optimization (PSO) algorithm is proposed. Linear constraints in the PSO are added to satisfy the normalization conditions for different problems. A hybrid algorithm based on the modified PSO and combining forecasting is presented. Combining forecasting can improve the forecasting accuracy through combining different forecasting methods. The effectiveness of the algorithm is demonstrated through the prediction on the sunspots and the stocks data. Simulated results show that the hybrid algorithm can improve the forecasting accuracy to a great extent.

关键词： Particle swarm optimization Computational modeling Computer science educational technology Laboratories Military computing knowledge engineering Computer science education High performance computing Predictive models

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A lifecycle-based parallel model of workflow management

A lifecycle-based parallel model of workflow management

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Wan-Jun Yu Da-You Liu Bo Yang Quan Liu College of Computer Science & Technology JiLin University Changchun China Key Laboratory of Symbolic Computation & Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

Workflow management systems (WFMSs) are used to coordinate and streamline business processes. Very large process instances are often running for a long period and the feedback iteration occurs frequently, thus the system is inefficient. To overcome such problems, we studied the issues that process modeling parallelly based on product lifecycle management and proposed a parallel model (LBPYYM: lifecycle-based parallel workflow model). First, the parallel process can be created with the model within a product lifecycle. Meanwhile, the complexity of process definition is reduced also by the parallel model. Second, the adhoc access control policies can be created in each phase of lifecycle to satisfy the access control requirement of the least privilege. Finally, two algorithms, which consist of 2-level role parse algorithm and 3-level role parse algorithm, are introduced. Through these two algorithms the workflow activities' participant can be defined very easily and flexibly.

关键词： engineering management Access control knowledge management Technology management educational institutions Computer science educational technology Laboratories knowledge engineering Computer science education

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A hybrid constraint propagation mechanism for resource-constrained scheduling

A hybrid constraint propagation mechanism for resource-const...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ju-Yang Zhang Ji-Gui Sun College of Computer Science & Technology Jilin University Changchun China Key Laboratory for Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

Handling resource constraints in resource-constrained scheduling is always a NP-hard problem. In the beginning of this paper, the overview of the approaches to managing resource constraints and the deficiency of them are shown. Then a hybrid mechanism based on CBA rules and resource energy forward checking is proposed. By applying this mechanism, the generality and the efficiency of our system are heightened.

关键词： Job shop scheduling Resource management Processor scheduling Programming profession Sun educational institutions Computer science educational technology Laboratories knowledge engineering

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Product lifecycle based on J2EE in PDM

Product lifecycle based on J2EE in PDM

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Wan-Jun Yu Da-You Liu Ni-Ya Li Quan Liu College of Computer Science & Technology JiLin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

PDM is an important technology of CIMS. The lifecycle management of PDM means that it is a process in which a product grows from conceptual generation, outline design to manufacture, maintenance, ultimately to be discarded as useless. This work introduces the background of PDM and the idea of PLM briefly; describes the hierarchy of the PDM; puts forward the architecture of PLM, the model of built-time and run-tune and the lifecycle service of state transition; finally, gives an example of PLM is given.

关键词： Project management Technology management educational technology Computer integrated manufacturing Product design Pulse width modulation educational institutions Computer science Laboratories knowledge engineering

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Feature selection and text classification for Chinese Web documents

Feature selection and text classification for Chinese Web do...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jian-Chao Xu Da-You Liu Ming Hu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China School of Computer Science & Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)0780384032

A great deal of methods for feature selection and text classification have been widely applied to English Web documents, while few studies have been done on Chinese Web documents. This paper gives a term weighting method based on inverse document frequency, HTML tags and length of Chinese phrase, reports our method to select Web text feature based on the messy genetic algorithm, provides an algorithm for Web text classification based on improvement on lattice machine approach. Our experiments show that these methods are valuable.

关键词： Text categorization Web pages Frequency knowledge engineering Genetic algorithms Lattices HTML Computer science educational technology Laboratories

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Searching for closed itemset with formal concept analysis

Searching for closed itemset with formal concept analysis

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hong Qi Da-You Liu Cheng-Quan Hu Ming Lu Liang Zhao Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN Coll. of Comput. Sci. & Technol. Jilin Univ. Changchun China College of Computer Science and Technology Jilin University Changchun China

ISBN: (纸本)0780384032

The problem of mining frequent patterns plays an essential role in many important data mining tasks. However, it often generates a very large number of frequent itemsets. The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets, yet it can be orders of magnitude smaller than the set of all frequent itemsets. An algorithm Closearcher based on formal concept analysis for closed itemset searching is proposed. This algorithm divides the whole search space of closed itemsets into several subspaces in accordance with criterions prescribed ahead, and introduces an efficient scheme to recognize the valid ones, in which the search for closed itemsets is bounded. An intermediate structure is employed to judge the validity of a subspace and search closed itemsets more efficiently. The algorithm is experimental evaluated and compared with the famous NextClosure algorithm proposed by Ganter for random generated data, as well as for real application data. The results show that our algorithm performs much better than the later.

关键词： Itemsets Data mining Machine learning algorithms Pattern analysis Frequency Algorithm design and analysis Databases educational institutions Computer science educational technology

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Spatio-temporal representation for multi-dimensional occlusion relation

Spatio-temporal representation for multi-dimensional occlusi...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng-Sheng Wang Da-You Liu Xiao-Dong Liu Bo Yang College of Computer Science and Technology Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin University Changchun China

ISBN: (纸本)0780378652

Occlusion relation is the topological relation between the images of two bodies from a viewpoint. Qualitative representation of occlusion relation has been investigated in qualitative spatial reasoning. This research is important for computer vision and robot navigation. The previous models such as LOS and ROC-20 are all based on RCC (the famous topological theory). But those models couldn't support abstract objects such as point and line which are very common in real applications. To deal with this, multi-dimensional spatial occlusion relation (MSO) is put forward. The foundation of MSO is MRCC which is the multi-dimensional extension of RCC. So MSO is suitable for both real and abstract objects. The conception neighborhood and composition of MSO is given. Finally MSO is extended to spatio-temporal relation by adding time feature. MSO is an appropriate frame to express spatio-temporal knowledge.

关键词： Computer vision Navigation Topology educational institutions Computer science Laboratories knowledge engineering Computer science education Robot vision systems Application software

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Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features

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ACM Transactions on knowledge Discovery from Data 1000年

作者： Shengda Zhuo Di Wu Yi He Shuqiang Huang Xindong Wu College of Cyber Security Jinan University Guangzhou Guangdong China College of Computer and Information Science Southwest University Chongqing China School of Computing Data Science and Physics William & Mary Williamsburg VA USA Key Laboratory of Knowledge Engineering with Big Data the Ministry of Education of China) School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China

Online learning, where feature spaces can change over time, offers a flexible learning paradigm that has attracted considerable attention. However, it still faces three significant challenges. First, the heterogeneity of real-world data streams with mixed feature types presents challenges for traditional parametric modeling. Second, data stream distributions can shift over time, causing an abrupt and substantial decline in model performance. Additionally, the time and cost constraints make it infeasible to label every data instance in a supervised setting. To overcome these challenges, we propose a new algorithm Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features (OL-MDISF), which aims to relax restrictions on both feature types, data distribution, and supervision information. Our approach involves utilizing copula models to create a comprehensive latent space, employing an adaptive sliding window for detecting drift points to ensure model stability, and establishing label proximity information based on geometric structural relationships. To demonstrate the model’s efficiency and effectiveness, we provide theoretical analysis and comprehensive experimental results.

关键词： Online Learning Mix-Typed Streaming Feature

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Conceptual Modeling for Advanced Application Domains 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Shan Wang Katsumi Tanaka Shuigeng Zhou Tok-Wang Ling Jihong Guan Dong-qing Yang Fabio Grandi Eleni E. Mangina Il-Yeol Song Heinrich C. Mayr

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