Utility Maximization Model for Deep Web Source Selection and Integration
نویسندگان
چکیده
REGULAR PAPERS Local Features Based Image Sequence Retrieval Xiang Fu and Jie-xian Zeng Utility Maximization Model for Deep Web Source Selection and Integration Xuefeng Xian, Zhiming Cui, Pengpeng Zhao, Yuanfeng Yang, and Guangming Zhang Research on Programming Algorithm of Trajectory for Hypersonic Vehicles Based on Particle Swarm Optimization Chuanfeng Li, Yongji Wang, Lingling Tang, and Zongzhun Zheng An Improved Computational Approach for Salient Region Detection Qiaorong Zhang, Haibo Liu, Jing Shen, Guochang Gu, Huimin Xiao, and Qiaorong Zhang A Band Selection Method For Hyperspectral Images Using Choquet Fuzzy Integral Fengchen Huang, Jing Ling, Aiye Shi, and Lizhong Xu An Algebraic Method for Estimating the Fundamental Matrix with Rank Constraint Yuanbin Wang, Bin Zhang, and Tianshun Yao Construction of High Performance Balanced Symmetric Multifilter Banks and Application in Image Processing Zhaohui Zeng and Yajun Liu A Study on the Knowledge Diffusion of Communities of Practice Based on the Weighted Smallworld Network Zhihong Li, Tao Zhu, and Wendi Lai A Fast Image Thresholding Method Based on Chaos Optimization and Recursive Algorithm for TwoDimensional Tsallis Entropy Xinming Zhang and Lin Yan Automatic Pronunciation Assessment for Mandarin Proficiency Test Based on HMM Chunting Yang, Yang Liu, and Jing Yu A Quad Tree Based Self-collision Detection Method for Cloth Simulation Bing He and Liu Cheng Generalized Hierarchical Identity-Based Signcryption Hao Wang, Qiuliang Xu, and Xiufeng Zhao TAM/wrapper Co-optimization And Test Scheduling For SOCs Based On Hybrid Genetic Algorithm Chuan-pei Xu, Xue-yun Lu, and Cong Hu Film Colorization, Using Artificial Neural Networks and Laws Filters Mohammad Reza Lavvafi, S. Amirhassan Monadjemi, and Payman Moallem 987
منابع مشابه
A Supplier Selection Model for Social Responsible Supply Chain
Due to the importance of supplier selection issue in supply chain management (SCM) and ,also, the increasing tendency of organizations to their social responsibilities, In this paper, we survey the supplier selection issue as a multi objective problem while considering the factor of corporate social responsibility (CSR) as a mathematical parameter. The purpose of this paper is to design a mode...
متن کاملSelection of energy source and evolutionary stable strategies for power plants under financial intervention of government
Currently, many socially responsible governments adopt economic incentives and deterrents to manage environmental impacts of electricity suppliers. Considering the Stackelberg leadership of the government, the government’s role in the competition of power plants in an electricity market is investigated. A one-population evolutionary game model of power plants is developed to study how their pro...
متن کاملHigh Fuzzy Utility Based Frequent Patterns Mining Approach for Mobile Web Services Sequences
Nowadays high fuzzy utility based pattern mining is an emerging topic in data mining. It refers to discover all patterns having a high utility meeting a user-specified minimum high utility threshold. It comprises extracting patterns which are highly accessed in mobile web service sequences. Different from the traditional fuzzy approach, high fuzzy utility mining considers not only counts of mob...
متن کاملAgreement Based Source Selection for the Multi-Domain Deep Web Integration
One immediate challenge in searching the deep web databases is source selection—i.e. selecting the most relevant web databases for answering a given query. For open collections like the deep web, the source selection must be sensitive to trustworthiness and importance of sources. Recent advances solve these problems for a single topic deep web search adapting an agreement based approach (c.f. S...
متن کاملTight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings
Recent advances in discriminatively trained mask estimation networks to extract a single source utilizing beamforming techniques demonstrate, that the integration of statistical models and deep neural networks (DNNs) are a promising approach for robust automatic speech recognition (ASR) applications. In this contribution we demonstrate how discriminatively trained embeddings on spectral feature...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- JCP
دوره 5 شماره
صفحات -
تاریخ انتشار 2010