Fénix: a flexible information exchange data model for natural language processing

In this paper we describe Fénix, a data model for exchanging information between Natural Language Processing applications. The format proposed is intended to be flexible enough to cover both current and future data structures employed in the field of Computational Linguistics. The Fénix architecture is divided into four separate layers: conceptual, logical, persistence and physical. This division provides a simple interface to abstract the users from low-level implementation details, such as programming languages and data storage employed, allowing them to focus in the concepts and processes to be modelled. The Fénix architecture is accompanied by a set of programming libraries to facilitate the access and manipulation of the structures created in this framework. We will also show how this architecture has been already successfully applied in different research projects.

CETIS, Complex Effluents Toxicity Information System : data encoding guidelines and procedures /

"CR807240."

Subject headings used in the catalogs of the United States Atomic Energy Commission.

Mode of access: Internet.

Osiris III; an integrated collection of computer programs for the management and analysis of social science data.

v. 1. System and program description.--v. 2. Error Messages.--v. 3. Summary of control cards.--v. 4. Sample jobs.--v. 5. Formulas and statistical references.--v. 6. Primer.

H-44 operator's manual. Heatwole 44 information and data processing equipment.

Mode of access: Internet.

Solar energy information and data for Illinois /

Cover title.

Supplementary financial information, special data requirements, and agency functions and planning program at June 30... /

Auditors: Arthur Anderson, 1996 ; Geo S. Olive & Co., 1997 ; Olive, 1998-

The busy man's hand-book : a condensed cyclopedia of historical, geographical, scriptural, scientific, legal, social, mercantile, medical, and useful information /

Mode of access: Internet.

Compliance with standards, abatement of violations and effectiveness of OSHA safety inspections : results of an analysis of OSHA management information system data /

Bibliography: p. 52.

How to locate educational information and data; an aid to quick utilization of the literature of education

Mode of access: Internet.

Customer information system data pre-processing with feature selection techniques for non-technical losses prediction in an electricity market

Non-technical losses (NTL) identification and prediction are important tasks for many utilities. Data from customer information system (CIS) can be used for NTL analysis. However, in order to accurately and efficiently perform NTL analysis, the original data from CIS need to be pre-processed before any detailed NTL analysis can be carried out. In this paper, we propose a feature selection based method for CIS data pre-processing in order to extract the most relevant information for further analysis such as clustering and classifications. By removing irrelevant and redundant features, feature selection is an essential step in data mining process in finding optimal subset of features to improve the quality of result by giving faster time processing, higher accuracy and simpler results with fewer features. Detailed feature selection analysis is presented in the paper. Both time-domain and load shape data are compared based on the accuracy, consistency and statistical dependencies between features.