1.

Record Nr.

UNINA9910456947503321

Titolo

Data quality and high-dimensional data analysis [[electronic resource] ] : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.]

Pubbl/distr/stampa

Singapore ; ; Hackensack, NJ, : World Scientific, c2009

ISBN

1-282-44256-2

9786612442568

981-4273-49-X

Descrizione fisica

1 online resource (117 p.)

Altri autori (Persone)

ChanChee-Yong

Disciplina

005.74

025.04

Soggetti

Electronic data processing - Quality control

Database management - Quality control

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"The first International Workshop on Data Quality in Collaborative Information Systems was held in conjunction with the 13th International Conference on Database Systems for Advanced Applications, 19-22nd March, 2008, in New Delhi, India.  The present volume contains the text for four accepted papers and two invited papers presented at the workshop, as well as one additional paper presented at the co-located workshop on analysis of high dimensional descrete data."--Pref.

Nota di bibliografia

Includes author index.

Nota di contenuto

Preface; Organizing Committees; CONTENTS; Genomic Information Quality Qing Liu and Xuemin Lin; DeepDetect: An Extensible System for Detecting Attribute Outliers & Duplicates in XML Qiangfeng Peter Lau, Wynne Hsu, Judice L. Y. Koh and Mong Li Lee; CHARIOT: A Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorological Data Mark Anthony F. Mateo and Carson Kai-Sang Leung; Assessing Data Quality Within Available Context Jingyu Han, Dawei Jiang and Zhiming Ding; Data Quality for Decision Support - The Indian Banking Scenario Hemalatha Diwakar and Alka Vaidya

An Approach to Cadastral Map Quality Evaluation in the Republic of



Latvia Anita JansoneSNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots E.Fuster-Garcia, et al.; Author Index

Sommario/riassunto

Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.

2.

Record Nr.

UNINA9910557764503321

Autore

McAleer Michael

Titolo

Review Papers for Journal of Risk and Financial Management (JRFM)

Pubbl/distr/stampa

Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020

Descrizione fisica

1 online resource (206 p.)

Soggetti

Technology: general issues

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

The Journal of Risk and Financial Management (JRFM) was inaugurated in 2008 and has successfully continued publishing, with Volume 13 in 2020. Since the journal was established, JRFM has published in excess of 580 topical and interesting theoretical and empirical papers in financial economics, financial econometrics, banking, finance, mathematical finance, statistical finance, accounting, decision sciences, information management, tourism economics and finance, international rankings of journals in financial economics, and bibliometric rankings of journals in cognate disciplines. Papers published in the journal range from novel technical and theoretical papers to innovative empirical contributions. The journal wishes to encourage critical review papers on topical subjects in any of the topics mentioned above in financial economics and in cognate disciplines.