By John Grant, Francesco Parisi (auth.), Zongmin Ma, Li Yan (eds.)
This publication covers a fast-growing subject in nice intensity and specializes in the applied sciences and functions of probabilistic information administration. It goals to supply a unmarried account of present experiences in probabilistic information administration. the target of the ebook is to supply the cutting-edge info to researchers, practitioners, and graduate scholars of knowledge know-how of clever info processing, and whilst serving the data know-how specialist confronted with non-traditional functions that make the applying of traditional ways tricky or impossible.
Read Online or Download Advances in Probabilistic Databases for Uncertain Information Management PDF
Similar databases books
Database Processing: Fundamentals, Design, and Implementation (13th Edition)
Get scholars directly to the purpose of database processing. Database Processing displays a brand new educating approach that will get scholars directly to the purpose with its thorough and glossy presentation of database processing fundamentals.
The 13th version has been completely up to date to mirror the newest software program.
Microsoft Access 2010 Step by Step
Adventure studying made easy-and fast educate your self the best way to construct database ideas with entry 2010. With step-by-step, you place the pace-building and working towards the talents you wish, simply if you happen to desire them! themes comprise construction an entry database from scratch or from templates; publishing your database to the internet; replacing facts with different databases and Microsoft place of work files; developing data-entry varieties; utilizing filters and queries; designing studies; utilizing conditional formatting; combating facts corruption and unauthorized entry; and different middle themes.
- Machine learning and knowledge discovery in databases : European conference, ECML PKDD 2009, Antwerp, Belgium, September 7-11, 2009 : proceedings
- SAS ACCESS 9.1 Interface to CA-Datacom DB: Reference
- Oracle - Introduction to Oracle9i - PL-SQL - Stude
- Oracle InterMedia Annotator. User's Guide
- Sams Teach Yourself Microsoft Access 2002 in 21 Days (Sams Teach Yourself)
Additional info for Advances in Probabilistic Databases for Uncertain Information Management
Sample text
165–176. Morgan Kaufmann (1992) 57. : Aggregate operators in probabilistic databases. Journal of the ACM 52(1), 54–101 (2005) 58. : Default reasoning about spatial occupancy. Artif. Intell. 1016/0004-3702(94)00071-8 59. : The temporal query language tquel. In: Proceedings of the 3rd ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, PODS 1984, pp. 204–213. 588041 60. : Indexing multidimensional uncertain data with arbitrary probability density functions. In: VLDB, pp. 922–933 (2005) 61.
To deal with uncertainty and imprecision, two major foundations have been developed, which are probability theory and fuzzy set theory, respectively. Fuzzy set theory and probability theory have been applied to extend various database models and this has resulted in numerous contributions, mainly with respect to the popular relational model. But the fuzzy relational database model [3, 7, 13, 14, 17, 23, 24, 25, 27] or probabilistic relational database model [6, 8, 12, 22, 32] does not satisfy the requirement of modeling complex objects with inherent imprecision and uncertainty.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18(2), 169–195 (2010) 20. : Attribute and object selection queries on objects with probabilistic attributes. ACM Transactions on Database Systems 37(1), 3 (2012) 38 L. Yan and Z. Ma 21. : Current approaches to handling imperfect information in data and knowledge bases. IEEE Transactions on Knowledge and Data Engineering 8(2), 353–372 (1996) 22. : An algebra for probabilistic databases. IEEE Transactions on Knowledge and Data Engineering 6(2), 293–303 (1994) 23.
