Veterans' disability benefits [[electronic resource] ] : better accountability and access would improve the Benefits Delivery at Discharge program : report to congressional requesters

• Record Nr.: UNINA9910697826703321
• Pubbl/distr/stampa: [Washington, DC] : , : U.S. Govt. Accountability Office, , [2008]
• Descrizione fisica: ii, 49 pages : digital, PDF file
• Soggetti: Disabled veterans - Services for - United States; Disability evaluation - United States
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from title screen (viewed on Oct. 12, 2008).; "September 2008."; "GAO-08-901."
• Nota di bibliografia: Includes bibliographical references.
• Sommario/riassunto: Recent military conflicts have increased interest in federal efforts to support servicemembers preparing to leave military service. Through the Benefits Delivery at Discharge (BDD) program, the Department of Veterans Affairs (VA), in collaboration with the Department of Defense (DOD), has made efforts to streamline access to veterans' disability benefits by allowing some servicemembers to file a claim and obtain a single comprehensive exam prior to discharge. This report examines VA's efforts to manage the BDD program and how VA and DOD are addressing challenges servicemembers face in accessing BDD. To address these objectives, GAO analyzed relevant documents and data, interviewed officials, and conducted site visits and interviews at selected military bases.

Electricity markets : California : hearing before the Subcommittee on Energy and Air Quality of the Committee on Energy and Commerce, One Hundred Seventh Congress, first session, March 20 and March 22, 2001

• Record Nr.: UNINA9910689452103321
• Descrizione fisica: 1 online resource (iii, 197 p.)
• Soggetti: Electric industries - California; Electric utilities - California
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Data Science : 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part I / / edited by Qinglei Zhou, Yong Gan, Weipeng Jing, Xianhua Song, Yan Wang, Zeguang Lu

• Record Nr.: UNINA9910299301803321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
• ISBN: 978-981-13-2203-7; 981-13-2203-1
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (XXIX, 755 p. 325 illus.)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 901
• Disciplina: 006.312
• Soggetti: Data mining; Application software; Artificial intelligence; Computer networks; Image processing - Digital techniques; Computer vision; Data Mining and Knowledge Discovery; Computer and Information Systems Applications; Artificial Intelligence; Computer Communication Networks; Computer Imaging, Vision, Pattern Recognition and Graphics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Computational theory for data science -- Big data management and applications -- Data quality and data preparation -- Evaluation and measurement in data science -- Data visualization -- Big data mining and knowledge management -- Infrastructure for data science -- Machine learning for data science -- Data security and privacy -- Applications of data science -- Case study of data science -- Multimedia data management and analysis -- Data-driven scientific research -- Data-driven bioinformatics -- Data-driven healthcare -- Data-driven management -- Data-driven e-government -- Data-driven smart city/planet -- Data marketing and economics -- Social media and recommendation systems -- Data-driven security -- Data-driven business model innovation -- Social and/or organizational impacts of data science.
• Sommario/riassunto: This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.