2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)最新文献

A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators 基于OWA和统一聚合算子的协同过滤推荐系统模型

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-24 DOI: 10.1109/ISKE.2015.36

I. Palomares, Fiona Browne, Hui Wang, P. Davis

引用次数: 6

Variable Weighted BSVD-Based Privacy-Preserving Collaborative Filtering 基于变加权bsvd的隐私保护协同过滤

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.25

Jue Wu, Lei Yang, Zhihui Li

{"title":"Variable Weighted BSVD-Based Privacy-Preserving Collaborative Filtering","authors":"Jue Wu, Lei Yang, Zhihui Li","doi":"10.1109/ISKE.2015.25","DOIUrl":"https://doi.org/10.1109/ISKE.2015.25","url":null,"abstract":"Recommender systems typically use collaborative filtering to make sense of huge and growing volumes of data. However, sharing user-item preferential data for use in collaborative filtering poses significant privacy and security challenges. In recent years, privacy has attracted a lot of attention. There are many existing works on privacy-preserving collaborative filtering. However, while these schemes are theoretically feasible, there are many practical implementation difficulties on real world. In this paper, a privacy-preserving collaborative filtering algorithm based on weighted singular value decomposition is proposed. The users' needs are considered in the algorithm, and the user can disturb their original data with different weights according to their needs. At the privacy-preserving stage, the variable weighted-based BSVD scheme is used to protect the data privacy. At the prediction stage, the improved Slope One algorithm is used to get the prediction. Some experiments are performed using the proposed algorithm. The results indicate a good performance of the scheme in comparison with the Slope One algorithm. Meanwhile, it is shown that the algorithm can preserve the data privacy efficiently with high data usability.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123113454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Periodic Pattern Mining for Spatio-Temporal Trajectories: A Survey 时空轨迹的周期性模式挖掘:综述

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.92

Dongzhi Zhang, Kyungmi Lee, Ickjai Lee

引用次数: 14

A Self Adaptive Neural Agent Based Decision Support System for Solving Dynamic Real Time Scheduling Problems 基于自适应神经智能体的动态实时调度决策支持系统

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.79

Zeineb Hammami, W. Mouelhi, L. B. Said

{"title":"A Self Adaptive Neural Agent Based Decision Support System for Solving Dynamic Real Time Scheduling Problems","authors":"Zeineb Hammami, W. Mouelhi, L. B. Said","doi":"10.1109/ISKE.2015.79","DOIUrl":"https://doi.org/10.1109/ISKE.2015.79","url":null,"abstract":"Manufacturing production systems are facing growing challenges to ensure competitive advantages and survive world-class under a growing competition and increased customers' requirements. Production scheduling lies at the heart of the manufacturing systems performance, therefore, a better resolution of scheduling problems will ensure the above objectives. Agent based systems were widely adopted in the literature as dynamic and adaptive approaches capable of enhancing scheduling decisions, relying on their distributed nature as well as the adaptive and intelligent behavior of agents. In this study we present a self-adaptive neural-agent-based decision support system where we integrate a set of neural network (NN) candidates at each control system agent. This integration gave rise to simultaneously exploited agents' communication and NNs' learning capabilities. It builds an innovative agent-based architecture able to make suitable real time scheduling decisions, and to improve the production efficiency based on embedded NNs assistance. Thus, according to our experimental results, the self-adaptive neural-agent-based decision support system was able to effectively and efficiently yield better results for production schedule, especially with respect of the mean tardiness of jobs that was significantly reduced when compared to the outcomes of the other applied methods.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115325826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Treemap Representations of Higher Order Information for Moving Objects 移动对象的高阶信息树状图表示

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.49

Ye Wang, Kyungmi Lee, Ickjai Lee

引用次数: 0

Mapping the Simulated Annealing Algorithm onto CUDA GPUs 模拟退火算法在CUDA gpu上的映射

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.97

K. Wei, Chao-Chin Wu, Hui-Liang Yu

{"title":"Mapping the Simulated Annealing Algorithm onto CUDA GPUs","authors":"K. Wei, Chao-Chin Wu, Hui-Liang Yu","doi":"10.1109/ISKE.2015.97","DOIUrl":"https://doi.org/10.1109/ISKE.2015.97","url":null,"abstract":"NVIDIA's Graphics Processing Units (GPUs) have been widely adopted in many application domains to shorten the execution time by parallel processing and the Compute Unified Device Architecture (CUDA) platform enables high-performance, many-core parallel programming for NVIDIA GPUs. Various kinds of metaheuristic algorithms, aiming at finding an acceptable good solution rather than the optimum solution for NP-complete problems, have been studied for parallel execution on GPUs. The simulated annealing algorithm (SA) is one of metaheuristic algorithms and has been widely used on solving hard problems on many application areas. In general, when the number of iterations is decreased, the execution time is shortened but the solution quality becomes poorer. Therefore, it is a hard work for programmers to choose an appropriate number of iterations for the SA algorithm when they parallelize the sequential SA. This paper proposes an approach that optimizes the mapping of the simulated annealing algorithm onto CUDA-enabled GPUs. Unlike the previous research, our goal of this work is to parallel the SA algorithm by setting the number of iterations to that adopted in the sequential version, which results in high speedup and good solution quality.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Semantic-Based Technology Trend Analysis 基于语义的技术趋势分析

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.43

Chao Yang, Donghua Zhu, Guangquan Zhang

引用次数: 8

The Correlation Mining and Prediction of Social Security Events Based on Multidimensional Time Series Model 基于多维时间序列模型的社会保障事件相关性挖掘与预测

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.81

Xiaotong Chi, Yueheng Sun, Wenjun Wang, Kuiyu Ma

引用次数: 2

Vague partition 模糊的分区

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.30

Xiaodong Pan, Yang Xu

引用次数: 2

Scheduling Sustainable Supply Chains Based on Multi-agent Systems and Workflow Models 基于多智能体系统和工作流模型的可持续供应链调度

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.20

Fu-Shiung Hsieh

{"title":"Scheduling Sustainable Supply Chains Based on Multi-agent Systems and Workflow Models","authors":"Fu-Shiung Hsieh","doi":"10.1109/ISKE.2015.20","DOIUrl":"https://doi.org/10.1109/ISKE.2015.20","url":null,"abstract":"Global competition, ever shorter product life cycles and pressure from environmental protection are forcing companies to explore more agile and sustainable supply chain practices. Motivated by these needs, this paper aims to study how to achieve agility in sustainable supply chains by exploiting the state of the art information technologies. Our goal is to develop architecture and propose a solution methodology to endow the actors with the ability to configure sustainable supply chain network quickly, flexibly and cost effectively. Managing workflows in sustainable supply chains is a challenging issue due to the computational complexity involved, distributed architecture and dependency among different partners' workflows. To respond to these challenges, we propose a framework to achieve coherent and consistent workflows that can meet order requirements based on multi-agent systems (MAS). To achieve sustainability and reduce the cost and time involved in software development, we propose an approach that combines contract net protocol, workflow models and optimization theory. We implement a prototype system based on industrial standards, including FIPA and the Petri net workflow specification model. We illustrate the benefits of our approach by an application scenario.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"60 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127580131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8