'Multiple relations' presentation slideshows

Multi-Relational Latent Semantic Analysis .

Multi-Relational Latent Semantic Analysis. Kai-Wei Chang Joint work with Scott Wen-tau Yih, Chris Meek Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language Research challenge Meaning representation of text

423 views • 41 slides

Decomposition, 3NF, BCNF

Decomposition, 3NF, BCNF. Decomposition of a Relation Schema. If a relation is not in a desired normal form, it can be decomposed into multiple relations that each are in that normal form.

593 views • 31 slides

Schema Refinement and Normalization

Schema Refinement and Normalization. Nobody realizes that some people expend tremendous energy merely to be normal. Albert Camus. Functional Dependencies (FDs) (Review). A functional dependency X ? Y holds over relation schema R if, for every allowable instance r of R:

399 views • 28 slides

CS411 Database Systems

CS411 Database Systems. Kazuhiro Minami. 08: Midterm Review. Boyce-Codd Normal Form. A relation R is in BCNF if whenever there is a nontrivial FD A 1 ... A n ? B for R, {A 1 ... A n } is a superkey for R. An FD is trivial if all the attributes on its right-hand side

378 views • 28 slides

578 views • 26 slides

Query-By-Example

Query-By-Example. Ping Zhou 2008.3. Introduction to QBE. Query-By-Example A high-level database management language Alternation to SQL for querying relational database Can be translated to SQL Developed at IBM (M. Zloof) Many Databases have QBE-like extension. Why QBE?.

339 views • 18 slides

Coupling Semi-Supervised Learning of Categories and Relations

Coupling Semi-Supervised Learning of Categories and Relations. by Andrew Carlson, Justin Betteridge , Estevam R. Hruschka Jr. and Tom M. Mitchell School of Computer Science Carnegie Mellon University presented by Thomas Packer. Bootstrapped Information Extraction. Semi-Supervised:

362 views • 13 slides

Putting Networks on Election Surveys

Putting Networks on Election Surveys. Nick Crossley. Background. Election surveys tend to individualise voters/respondents. Ignoring their dependencies and influence upon one another.

157 views • 10 slides

A Bayesian Matrix Factorization Model for Relational Data UAI 2010

Relational Learning via Collective Matrix Factorization SIGKDD 2008. A Bayesian Matrix Factorization Model for Relational Data UAI 2010. Authors: Ajit P. Singh & Geo?rey J. Gordon Presenter: Xian Xing Zhang. Basic ideas.

305 views • 10 slides