|
• Articles • Previous Articles Next Articles
Hong-Ding Wang{1,2, Yun-Hai Tong{1,2, Shao-Hua Tan{1,2, Shi-Wei Tang{1,2, Dong-Qing Yang1, and Guo-Hui Sun3
| [1] Inmon W H. Building the Data Warehouse. 3rd Edition, John Wiley \& Sons, 2002. [2] Jukic N. Modeling strategies and alternatives for data warehousing projects. -\it Communications of the ACM}, 2006, 49(4): 83--88. [3] Dori D, Reldman R, Sturm A. Transforming an operational system model to a data warehouse model: A survey of techniques. In -\it Proc. IEEE Int. Conf. Software---Science, Technology and Engineering}, Herzelia, Israel, 2005, pp.47--56. [4] Winter R, Strauch B. A method for demand-driven information requirements analysis in data warehousing projects. In -\it Proc. Hawaii Int. Conf. System Sciences}, Big Island, HI, USA, 2003, pp.231. [5] Husemann B, Lechtenborger J, Vossen G. Conceptual data warehouse modeling. In -\it Proc. Int. Workshop on Design and Management of Data Warehouses}, Stockholm, Sweden, 2000, pp.6.1--6.11. [6] Golfarelli M, Maio D, Rizzi S. The dimensional fact model: A conceptual model for data warehouses. -\it Int. J. Cooperative Information Systems}, 1998, 7(2-3): 215--247. [7] Moody D, Kortink M. From enterprise models to dimensional models: A methodology for data warehouse and data mart design. In -\it Proc. Int. Workshop on Design and Management of Data Warehouses}, Stockholm, Sweden, 2000, pp.5.1--5.12. [8] Bruckner R M, List B, Schiefer J. Developing requirements for data warehouse systems with use cases. In -\it Proc. The Annual Americas' Conf. Information System}, Boston, Massachusetts, USA, 2001, pp.329--335. [9] Prakash N, Gosain A. Requirements driven data warehouse development. In -\it Proc. Int. Conf. Advanced Information Systems Engineering}, Klagenfurt, Austria, 2003, pp.13--16. [10] Giorgini P, Rizzi S, Garzetti M. Goal-oriented requirement analysis for data warehouse design. In -\it Proc. Int. Workshop on Data Warehousing and OLAP}, Bremen, Germany, 2005, pp.47--56. [11] Lujan-Mora S, Trujillo J. A comprehensive method for data warehouse design. In -\it Proc. Int. Workshop on Design and Management of Data Warehouses}, Berlin, Germany, 2003, pp.1.1--1.13. [12] Kimball R, Reeves L, Ross M \it et al. \rm The Data Warehouse Lifecycle Toolkit. 2nd Edition, John Wiley \& Sons, 2002, pp.16--24. [13] Breslin M. Data warehousing battle of the giants: Comparing the basics of the Kimball and Inmon models. -\it Business Intelligence Journal}, 2004, 9(1): 6--20. [14] Wang H D, Yu B, Tang S W \it et al. \rm An Effective Approach to Design Data warehouse. -\it Computer Engineer and Applications}, 2004, 40(9): 1--2. (in Chinese) [15] Rahm E, Do H H. Data cleaning: Problems and current approaches. -\it IEEE Data Eng. Bulletin}, 2000, 23(4): 3--13. [16] Vassiliadis P, Simitsis A, Skiadopoulos S. Conceptual Modeling for ETL Processes. -\it In Proc. Int. Workshop on Data Warehousing and OLAP}, McLean, VA, USA, 2002, pp.14--21. [17] B\"ohnlein M, Ende A U. Deriving initial data warehouse structures from the conceptual data models of the underlying operational information systems. In -\it Proc. Int. Workshop on Data Warehousing and OLAP}, Kansas City, MO, USA, 1999, pp.15--21. [18] Salton G, Buckley C. Term-weighting approaches in automatic text retrieval. -\it International Journal of Information Processing and Management}, 1988, 24(5): 513--523. [19] Salton G. Automatic Text Processing: The Transformation Analysis and Retrieval of Information by Computer. Addison-Wesley, 1989. [20] Castano S, De Antonellis V, De Capitani di Vemercati S. Global viewing of heterogeneous data sources. -\it IEEE Trans. Knowl. Data Eng}., 2001, 13(2): 277--297. [21] WordReference.com. English dictionary. http://www.wordrefe\-rence.com/definition. [22] Widdows D. A mathematical model for context and word-meaning. In -\it Proc. Int. and Interdisciplinary Conf. Modeling and Using Context}, Stanford, CA, USA, 2003, pp.369--382. [23] Schutze H. Automatic word sense discrimination. -\it Computational Linguistics}. 1998, 24(1): 97--124. [24] Jing H Y, Tzoukermann E. Information retrieval based on context distance and morphology. In -\it Proc. Annual Int. ACM SIGIR Conf.}, Berkeley, CA, USA, 1999, pp.90--96. [25] Wu L, Faloutsos C, Sycara K \it et al. \rm Falcon: Feedback adaptive loop for content-based retrieval. In -\it Proc. VLDB}, Cairo, Egypt, 2000, pp.297--306. [26] Rui Y, Huang T %Ortega M \it et al. \rm Relevance feedback: A power tool for interactive content-based image retrieval. -\it IEEE Tran. Circuits and Systems for Video Technology}, 1998, 8(5): 644--655. [27] Kim D H, Chung C W. Qcluster: Relevance feedback using adaptive clustering for content-based image retrieval. In -\it Proc. ACM SIGMOD,} San Diego, CA, USA, 2003, pp.599--610. [28] Pottinger R A, Bernstein P A. Merging models based on given correspondences. In -\it Proc. VLDB}, Berlin, Germany, 2003, pp.826--873. [29] Rahm E, Bernstein P A. A survey of approaches to automatic schema matching. -\it The VLDB Journal}, 2001, 10(4): 334--350. [30] Doan A, Halevy A Y. Semantic integration research in the database community: A brief survey. -\it AI Magazine}, 2005, 26(1): 83--94. [31] Giunchiglia F, Shvaiko P, Yatskevich M. Semantic schema matching. In -\it Proc. Int. Conf. Cooperative Information Systems}, Agia Napa, Cyprus, 2005, pp.347--365. [32] Bilke A, Naumann F. Schema matching using duplicates. In -\it Proc. ICDE}, Tokyo, Japan, 2005, pp.69--81. [33] Aumuller D, Do H H, Massmann S \it et al. \rm Schema and ontology matching with COMA$-++}$. In -\it Proc. ACM SIGMOD}, Baltimore, MD, USA, 2005, pp.906--908. [34] Xu L, Embley D W. Discovering direct and indirect matches for schema elements. In -\it Proc. Int. Conf. Database Systems for Advanced Applications}, Kyoto, Japan, 2003, pp.39--46. [35] Wang H D, Tang S W, Tong Y H \it et al. \rm An approach for identifying attribute correspondences in multilingual schemas. In -\it Proc. ACM SAC}, Dijon, France, 2006, pp.1674--1678. [36] Wang H D, Tan S H, Tang S W \it et al. \rm Identifying indirect attribute correspondences in multilingual schemas. In -\it Proc. Int. Workshop on DEXA}, Krakow, Poland, 2006, pp.652--656. [37] Zille H, Muhammad J N, Nadeem I. An ontology-based framework for semi-automatic schema integration. -\it J. Comput. Sci. $\&$ Technol.,} 2005, 20(6): 788--796. |
| [1] | Xiao-Feng Tao, Yan-Zhao Hou, Kai-Dong Wang, Hai-Yang He, and Y. Jay Guo. GPP-Based Soft Base Station Designing and Optimization [J]. , 2013, 28(3): 420-428. |
| [2] | Hong-Yu Liang (梁宏宇) and Jing He (何晶). Satisfiability with Index Dependency [J]. , 2012, 27(4): 668-677. |
| [3] | HE Simin; ZHANG Bo;. Solving SAT by Algorithm Transform of Wu s Method [J]. , 1999, 14(5): 468-480. |
| [4] | HUANG Xiong; LI wei;. On k-Positive Satisfiability Problem [J]. , 1999, 14(4): 309-313. |
| [5] | GU Jun; GU Qianping; DU Dingzhu;. On Optimizing the Satisfiability (SAT) Problem [J]. , 1999, 14(1): 1-17. |
| [6] | Lu Weifeng; Zhang Yuping;. Experimental Study on Strategy of CombiningSAT Algorithms [J]. , 1998, 13(6): 608-614. |
| [7] | Tao Xuehong; Sun Wei; Ma Shaohan;. A Practical Propositional Knowledge Base Revision Algorithm [J]. , 1997, 12(2): 154-159. |
|
|
|||||||||||