Knowledge and Information Systems

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An AHP-based approach toward enterprise architecture analysis based on enterprise architecture quality attributes
Knowledge and Information Systems - Tập 28 - Trang 449-472 - 2010
Mahsa Razavi, Fereidoon Shams Aliee, Kambiz Badie
Enterprise Architecture (EA) as a discipline that manages large amount of models and information about different aspects of the enterprise, can support decision making on enterprise-wide issues. In order to provide such support, EA information should be amenable to analysis of various utilities and quality attributes. In this regard, we have proposed the idea of characterizing and using enterprise...... hiện toàn bộ
Relationships between knowledge bases and related results
Knowledge and Information Systems - Tập 49 - Trang 171-195 - 2015
Zhaowen Li, Yuanyuan Liu, Qingguo Li, Bin Qin
Relationships between information systems are very important topics in the field of artificial intelligence. The concept of homomorphisms is an effective mathematical tool to study relationships between information systems. A knowledge base is a special relation information system. This paper investigates invariant characteristics of knowledge bases under the homomorphism. The fact that knowledge ...... hiện toàn bộ
An incremental algorithm for clustering spatial data streams: exploring temporal locality
Knowledge and Information Systems - Tập 37 - Trang 453-483 - 2013
Ling-Yin Wei, Wen-Chih Peng
Clustering sensor data discovers useful information hidden in sensor networks. In sensor networks, a sensor has two types of attributes: a geographic attribute (i.e, its spatial location) and non-geographic attributes (e.g., sensed readings). Sensor data are periodically collected and viewed as spatial data streams, where a spatial data stream consists of a sequence of data points exhibiting attri...... hiện toàn bộ
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting
Knowledge and Information Systems - - Trang 1-21 - 2024
Mingtao Wang, Xin Zhou, Yuanyuan Chen
Crowd counting based on convolutional neural networks (CNNs) has made significant progress in recent years. However, the limited receptive field of CNNs makes it challenging to capture global features for comprehensive contextual modeling, resulting in insufficient accuracy in count estimation. In comparison, vision transformer (ViT)-based counting networks have demonstrated remarkable performance...... hiện toàn bộ
A new ontology-based similarity approach for measuring caching coverages provided by mediation systems
Knowledge and Information Systems - Tập 66 Số 2 - Trang 959-987 - 2024
Ouafa Ajarroud, Ahmed Zellou, Ali Idri
HICC: an entropy splitting-based framework for hierarchical co-clustering
Knowledge and Information Systems - Tập 46 - Trang 343-367 - 2015
Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
Two-dimensional contingency tables or co-occurrence matrices arise frequently in various important applications such as text analysis and web-log mining. As a fundamental research topic, co-clustering aims to generate a meaningful partition of the contingency table to reveal hidden relationships between rows and columns. Traditional co-clustering algorithms usually produce a predefined number of f...... hiện toàn bộ
An effective few-shot learning approach via location-dependent partial differential equation
Knowledge and Information Systems - Tập 62 - Trang 1881-1901 - 2019
Haotian Wang, Zhenyu Zhao, Yuhua Tang
Recently, learning-based partial differential equation (L-PDE) has achieved success in few-shot learning area, while its feature weighting mechanism and recognition stability require further improvement. To address these issues, we propose a novel model called “location-dependent PDE” (LD-PDE) based on Navier–Stokes equation and rotational invariants in this paper. To our best knowledge, LD-PDE is...... hiện toàn bộ
A new interest extraction method based on multi-head attention mechanism for CTR prediction
Knowledge and Information Systems - Tập 65 - Trang 3337-3352 - 2023
Haifeng Yang, Linjing Yao, Jianghui Cai, Yupeng Wang, Xujun Zhao
Click-through rate (CTR) prediction plays a vital role in recommendation systems. Most models pay little attention to the relationship between target items in the user behavior sequence. The attention units used in these models cannot fully capture the context information, which can be used to reflect the variations of user interests. To address these problems, we propose a new model named interes...... hiện toàn bộ
Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey
Knowledge and Information Systems - Tập 1 - Trang 129-156 - 2013
Weiming Shen, Douglas H. Norrie
Agent technology has been considered as an important approach for developing distributed intelligent manufacturing systems. A number of researchers have attempted to apply agent technology to manufacturing enterprise integration, supply chain management, manufacturing planning, scheduling and control, materials handling, and holonic manufacturing systems. This paper gives a brief survey of some re...... hiện toàn bộ
A novel page clipping search engine based on page discussion topics
Knowledge and Information Systems - Tập 58 - Trang 525-550 - 2018
Lin-Chih Chen
In this paper, we propose a page clipping search engine based on page discussion topics. Compared to other search engines, our search engine uses the page discussion topic instead of the search engine results page as the main result. After the user selects the topic of interest, our search engine will clip the relevant pages according to the selected topic and produce an integrated page result. T...... hiện toàn bộ
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