LDL++(ID:5075/ldl003)

Logical Data Language

Used in Knowledge Miner to Bayesian Data Clusters


Related languages
LDL => LDL++   Evolution of
References:
  • Hsu, Ping-Yu; Carlo Zaniolo: A new User's Impressions on LDL++ and CORAL. Workshop on Programming with Logic Databases (Informal Proceedings), ILPS 1993: 134-145 view details
  • Muntz, Richard R. ; Eddie C. Shek, Carlo Zaniolo: Using LDL++ for Spatio-Temporal Reasoning in Atmospheric Science Databases. Workshop on Programming with Logic Databases (Book), ILPS 1993: 101-119 view details
  • Shaw, Shawn ; Lena Foggiato-Bish, Iris Garcia, Gherin Tillman, Dave Tryon, Wendy Wood, Carlo Zaniolo: Improving Data Quality Via LDL++. Workshop on Programming with Logic Databases (Informal Proceedings), ILPS 1993: 60-73 view details
  • Zaniolo, Carlo; Natraj Arni, KayLiang Ong: Negation and Aggregates in Recursive Rules: the LDL++ Approach. DOOD 1993: 204-221 view details
  • Wei-Min Shen et al "Metaqueries for Data Mining" view details Abstract: This chapter presents a framework that uses metaqueries to integrate inductive learning methods with deductive database technologies in the context of knowledge discovery from databases. Metaqueries are second-order predicates or templates, and are used for (1) Guiding deductive data collection, (2) Focusing attention for inductive learning, and (3) Assisting human analysts in the discovery loop. We describe in detail a system that uses this idea to unify a Bayesian Data Cluster with the Logical Data Language (LDL++), and show the results of three case studies, namely, discovering regularities from a knowledge base, discovering patterns and errors from a large telecommunication database, and discovering patterns and errors from a large chemical database. The patterns discovered using metaqueries are implication rules with probabilities. These rules can link information from many tables in databases, and they can be stored persistently for multiple purposes, including error detection, integrity constraints, or generation of more complex metaqueries.