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Multi-agent Web Text Mining on the Grid for Enterprise Decision Support [chapter]

Kin Keung Lai, Lean Yu, Shouyang Wang
2006 Lecture Notes in Computer Science  
In order to scale the individual intelligent agent with the large number of text documents on the web, we then provide a multi-agent web text mining system in a parallel way based upon grid technology.  ...  In this study, a multi-agent web text mining system on the grid is developed to support enterprise decision-making.  ...  To scale the computational load for the large-scale text mining task, a multi-agent web text mining system on the grid is proposed in Section 3. Section 4 concludes.  ... 
doi:10.1007/11610496_70 fatcat:voz7bi4gqrb6zo7az4xeffkd5i

Analysis of Massive Unstructured Data Model Based on Clustering Algorithm

2018 Academic Journal of Computing & Information Science  
Therefore, various industries have begun to adopt large-scale databases to collect more. The information, and through this information to get more knowledge, resulting in a huge amount of data.  ...  data can improve the accuracy when searching, so as to more effectively meet the needs of users.  ...  A schematic based on the hierarchical approach is shown in Figure 2 . Aggarwal et al. proposed the CluStream algorithm, which is a typical algorithm for extending the hierarchy.  ... 
doi:10.25236/ajcis.010004 fatcat:l4m7mpdgtngj3lubdc5jlujncy

In Brief: Grid-Based Modeling Technique Furthers Earthquake Risk Prediction

D. Geer
2006 IEEE Distributed Systems Online  
A UK-based grid computing project that merges two earthquake data modeling methods is one of the latest tools in earthquake prediction.  ...  The new technique provides a 2D data map of tectonic structures by combining a macro modeling method based on surface deformation measurements from satellite imagery with a micro method based on finite  ...  The 2D modeling technique uses the same Web services and grid technologies for integrating science data that businesses are using for enterprise data integration, says Heather Kreger, a Web services and  ... 
doi:10.1109/mdso.2006.11 fatcat:4qzls4ruzvffpdl32onl534sna

KNOWLEDGE GRID: High Performance Knowledge Discovery Services on the Grid [chapter]

Mario Cannataro, Domenico Talia, Paolo Trunfio
2001 Lecture Notes in Computer Science  
architecture that makes of use of the grid computing resources for data-mining petabyte-scale applications that both address high-performance and wide area operations.  ...  Section 2 discusses the requirements of parallel and distributed data mining on grids and what basic services the grid offers as basic support for PDKD.  ...  a dataflow approach.  ... 
doi:10.1007/3-540-45644-9_5 fatcat:zdm5pz45lnd5bf2vkrxvrjo7ai

PARALLEL AND DISTRIBUTED KNOWLEDGE DISCOVERY ON THE GRID: A REFERENCE ARCHITECTURE

M. CANNATARO, D. TALIA
2000 Algorithms and Architectures for Parallel Processing  
In this paper we introduce a reference software architecture for PDKD systems that is built on top of computational grids that provide dependable, consistent, and pervasive access to high-end computational  ...  In particular, when large data sets are coupled with geographic distribution of data, users and systems, it is necessary to combine different technologies for implementing high-performance distributed  ...  Kensington Enterprise data mining [1] is a PDKD system based on a three-tier client/server architecture in which the three tiers include: client, application server and third-tier servers (RDBMS and parallel  ... 
doi:10.1142/9789812792037_0063 fatcat:mxc7r6ppurd5hpsf3q4dxjc5ym

Distributed Data Mining for Multiple Sourced Heterogeneous Datasets: A Survey

Xing-ying LI, Shan-zi LI, Yi-xuan WU, Ai-jia HE, Xiao-ya HUANG, Xin ZHAO
2018 DEStech Transactions on Computer Science and Engineering  
However, due to the heterogeneity of system environment for data storage and computing, how to mine these distributed data sources has become a valuable research topic that attracted more and more attention  ...  Finally, we reviewed in detail the research works and discussed the challenges remained in the distributed data mining problem for multiple sourced heterogeneous data sets.  ...  of distributed data mining [9] .So they set up a new framework ADMIRE based on grid for a large number of data sets.  ... 
doi:10.12783/dtcse/cmsam2018/26563 fatcat:yna7ghym5fbpzbfibpsynzsn7m

Applying Enterprise Models to Design Cooperative Scientific Environments [chapter]

Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes
2006 Lecture Notes in Computer Science  
On this premise, the aim of this paper is to apply existing enterprise models and processes for designing cooperative scientific experiments.  ...  The presented approach assumes the Service Oriented Architecture as the enacting paradigm to formalize experiments as cooperative services on various computational nodes of a network.  ...  infrastructure, e.g., of grid type, that supports flexible collaborations and computation on a global scale.  ... 
doi:10.1007/11678564_25 fatcat:kvhkq6kbfzg4xfymhmiyn3oz7a

Semantic management of Enterprise Integration Patterns: A use case in Smart Grids

Om P. Patri, Anand V. Panangadan, Vikrambhai S. Sorathia, Viktor K. Prasanna
2014 2014 IEEE 30th International Conference on Data Engineering Workshops  
Enterprise Integration Patterns are a set of design patterns for linking multiple systems using asynchronous messaging interfaces.  ...  We illustrate potential savings in messaging resources and automatic lifecycle management using real-world sensor data collected in a Smart Grid project.  ...  We thank Facilities Management Services at University of Southern California for providing us with the energy consumption data of campus buildings.  ... 
doi:10.1109/icdew.2014.6818302 dblp:conf/icde/PatriPSP14 fatcat:zrugsygoqra6heeibkppylgbau

Introduction to Web Intelligence

Ning ZHONG
2003 Systems, Control and Information  
Vdardi : Integrated is to create a grid-based, organized society of Web mining agents, called apProach to web ontology learning and engineerin9 ; 'EEE CoTnputeT ・ 、 VoL 35 , No . 11 , pp . 60 − 63 ( 2002  ...  Web mining is the application of data mining techniques to large, distributed, Web-based data repositories such that the Web mining process for real-world applications is ex-tremely complicated[31].  ... 
doi:10.11509/isciesci.47.12_553 fatcat:mc2tnw6n6ve5pk3xb2ybigbsna

DHAI: Dynamic Hierarchical Agent-Based Infrastructure for Supporting Large-Scale Distributed Information Processing [chapter]

Jinlong Wang, Congfu Xu, Huifeng Shen, Zhaohui Wu, Yunhe Pan
2005 Lecture Notes in Computer Science  
By dint of agents, we can not only overcome a lot of limitations of the mechanisms which Grid and P2P support for data management and interchange in large-scale dynamic distributed systems, but also provide  ...  In order to overcome these problems, we combine the Grid and P2P technologies, and propose a dynamic hierarchical agentbased infrastructure.  ...  In order to satisfy the above requirements, we combine the Grid [1] and Peer-to-Peer (P2P) [2] technologies, and propose a dynamic, hierarchical and agent-based [3, 4] infrastructure for large-scale  ... 
doi:10.1007/11534310_92 fatcat:rcmctyo2xzeldji7go3phyuxd4

Performance mining of large-scale data-intensive applications

C. Carothers, B.K. Szymanski, M. Zaki
2002 Proceedings 16th International Parallel and Distributed Processing Symposium  
To address these challenges for next generation software systems we propose the development of the PerfMiner engine for the performance mining of large-scale dataintensive distributed object applications  ...  Parallelism is exploited to enable a faster, more thorough mining of the data in this real-time sensitive environment.  ...  On the example data mining applications, we will present the emerging methodology of performance analysis and run-time optimization based on our approach.  ... 
doi:10.1109/ipdps.2002.1016582 dblp:conf/ipps/CarothersSZ02 fatcat:tydhl26dfnertiq4kwgcqxkgu4

Highly scalable Text Mining - parallel tagging application

Firat Tekiner, Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou
2009 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control  
Scaling of 512 processors has been achieved and a method to scale to 10000 processors is proposed for massively parallel Text Mining applications.  ...  There is an urgent need to develop new text mining solutions using High Performance Computing (HPC) and grid environments to tackle exponential growth in text data.  ...  ACKNOWLEDGMENT We thank the DEISA Consortium (www.deisa.eu), cofunded through the EU FP6 project RI-031513 and the FP7 project RI-222919, for support within the DEISA Extreme Computing Initiative.  ... 
doi:10.1109/icsccw.2009.5379432 fatcat:eyew3j52xfezloze5lox4wubri

MSGC: Multi-scale grid clustering by fusing analytical granularity and visual cognition for detecting hierarchical spatial patterns

Zhipeng Gui, Dehua Peng, Huayi Wu, Xi Long
2020 Future generations computer systems  
Spatial clustering is a widely used data mining method for discovery of spatial aggregation pattern.  ...  Therefore, this paper proposes a novel multi-scale grid clustering (MSGC) algorithm, which fuses dual scale factors, i.e., analytical scale and visual scale that sequentially integrates multi-analytical-scale  ...  His research interests include high-performance spatiotemporal data mining and geovisual analytics and Distributed Geographic Information Processing (DGIP), especially on 1) Spatiotemporal point pattern  ... 
doi:10.1016/j.future.2020.06.053 fatcat:jqkpxwc4dbffnku65qunsmay6m

Adaptive Grid Division and Cluster Analysis of Decision Graph in Real Estate Marketing Using Data Mining

Sheng Lv, Muhammad Babar
2022 Mobile Information Systems  
The cluster further divides the adaptive network and selects the data of a real estate company in China for research.  ...  The analysis and research of data mining technology in the context of real estate can formulate more accurate marketing strategies.  ...  The cluster analysis model is established based on data mining using the data clustering algorithm based on dynamic grid. 3.1. Data Mining Process.  ... 
doi:10.1155/2022/4835540 fatcat:apou5nwkevhwzgyo6467qqyyay

The Modes of Data Development in the Internet Age

Yuxian Wu
2007 Data Science Journal  
As for data-development mode, the change of technology & operation need the change of game rule simultaneously.  ...  Another is the revolution resulted by technological developing tendency & represented by Grid.  ...  data, etc, the new mode of data development based on the database will no longer be simply a form of post-produced, but a form in real-time.  ... 
doi:10.2481/dsj.6.s962 fatcat:xsxjddeg4nhandyb3hsmut4q6a
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