Books on the topic 'Feature management'

Ley, Michael. Ein Datenbankkern zur Speicherung variabel strukturierter Feature-Terme: Implementierungstechniken. Sank[t] Augustin: Infix, 1993.

Huan, Liu. Feature selection for knowledge discovery and data mining. Boston: Kluwer Academic Publishers, 1998.

Liu, Huan. Feature selection for knowledge discovery and data mining. Boston: Kluwer Academic, 1998.

1958-, Liu Huan, and Motoda Hiroshi, eds. Feature extraction, construction and selection: A data mining perspective. Boston: Kluwer Academic, 1998.

Liu, Huan. Feature Extraction, Construction and Selection: A Data Mining Perspective. Boston, MA: Springer US, 1998.

Jensen, Richard. Computational intelligence and feature selection: Rough and fuzzy approaches. Oxford: Wiley, 2008.

American Water Works Association. Illinois Section. Illinois Section AWWA, Illinois EPA and Illinois Rural Water Assoc. presents double feature seminars coming soon to a location near you. Springfield, Ill.]: [Illinois Environmental Protection Agency], 1993.

Inc, ebrary, ed. Kentico CMS 5 website development: Beginner's guide : building professional and feature-rich websites with Kentico CMS 5. Birmingham [U.K.]: Packt Pub., 2010.

Inc, ebrary, ed. JBoss portal server development: Create dynamic, feature-rich, and robust enterprise portal applications. Birmingham, U.K: Packt Pub., 2009.

Second lives: Becoming a freelance writer. New York: St. Martin's Griffin, 1999.

Second lives: Becoming a desktop publisher. New York: St. Martin's Griffin, 1999.

Jones, Peter F. CAD/CAM: Features, Applications and Management. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22141-7.

Jones, Peter F. CAD/CAM, features, applications and management. London: Macmillan, 1992.

Hegstad, Sven Olaf. Management contracts: Main features and design issues. Washington, D.C: World Bank, 1987.

Dabrowski, Christopher E. Object database management systems: Concepts and features. Washington, D.C: National Institute of Standards and Technology, 1990.

Elizabeth, Fong, and Yang Deyuan, eds. Object database management systems: Concepts and features. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1990.

Cascella, Marco, Arturo Cuomo, and Daniela Viscardi. Features and Management of the Pelvic Cancer Pain. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33587-2.

Ryzhikov, Sergey. Management: management methods. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1039875.

Cascella, Marco, and Elvio De Blasio. Features and Management of Acute and Chronic Neuro-Covid. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86705-8.

Otey, Michael. Microsoft SQL Server 2005 new features. New York: McGraw-Hill/Osborne, 2004.

service), SpringerLink (Online, ed. Fisheries Management in Japan: Its institutional features and case studies. Dordrecht: Springer Science+Business Media B.V., 2011.

American Bankers Association. Fiduciary and Securities Operations Division., ed. Risk management and control: Processing bond put and call features. Washington, D.C. (1120 Connecticut Ave., N.W., Washington 20036): Fiduciary and Securities Operations Division, American Bankers Association, 1990.

Goetzke, Sabine. Computerisation of the personnel management function: Motives, features and impacts. [s.l.]: typescript, 1987.

Oracle Database 10g new features. New York: McGraw-Hill/Osborne, 2004.

IBM Data Management Solutions Education Services. Working with IBM Informix XPS 8.40 features: Course 765, version 2. [United States?]: IBM, 2002.

Stories of achievements: Narrative features of organizational performance. New Brunswick, NJ: Transaction Publishers, 1997.

Belal, Tassi, ed. DB2 viper strikes again: New features in DB2 9.5. New York: McGraw Hill, 2008.

Brown, C. K. Features of a participatory management information system for rural development projects. Cape Coast, Ghana: University of Cape Coast, Centre for Development Studies, 1991.

Our Feature Presentation: Management. South-Western College Pub, 2003.

Computational methods of feature selection. Boca Raton: Chapman & Hall/CRC, 2008.

Loukas, Athanasios, and Luis Garrote, eds. Feature Papers of Water Resources Management, Policy and Governance. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-4946-0.

Champoux, Joseph E. Our Feature Presentation: Human Resource Management (with Printed Access Card). South-Western College Pub, 2006.

Tari, Zahir, Adil Fahad, Abdulmohsen Almalawi, and Xun Yi. Network Classification for Traffic Management: Anomaly detection, feature selection, clustering and classification. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbpc032e.

Tari, Zahir, Adil Fahad, Abdulmohsen Almalawi, and Xun Yi. Network Classification for Traffic Management: Anomaly Detection, Feature Selection, Clustering and Classification. Institution of Engineering & Technology, 2020.

Wang, Ran, and Jorge A. Chan-Lau. UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification. International Monetary Fund, 2020.

Wang, Ran, and Jorge A. Chan-Lau. UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification. International Monetary Fund, 2020.

Wang, Ran, and Jorge A. Chan-Lau. UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification. International Monetary Fund, 2020.

Feature Extraction, Construction and Selection: A Data Mining Perspective. Springer, 2011.

Jensen, Richard, and Qiang Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. Wiley & Sons, Incorporated, John, 2008.

Jensen, Richard, and Qiang Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. Wiley & Sons, Incorporated, John, 2008.

(Editor), Isabelle Guyon, Steve Gunn (Editor), Masoud Nikravesh (Editor), and Lotfi A. Zadeh (Editor), eds. Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing). Springer, 2006.

Mishra, Kamta Nath, and Subhash Chandra Pandey. Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities. IGI Global, 2020.

Mishra, Kamta Nath, and Subhash Chandra Pandey. Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities. IGI Global, 2020.

Mishra, Kamta Nath, and Subhash Chandra Pandey. Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities. IGI Global, 2020.

(Editor), Huan Liu, and Hiroshi Motoda (Editor), eds. Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science). Springer, 1998.

Latham, Gary P., Lorne M. Sulsky, and Heather MacDonald. Performance Management. Edited by Peter Boxall, John Purcell, and Patrick M. Wright. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199547029.003.0018.

Niu, Gang. Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions. Springer London, Limited, 2016.

Niu, Gang. Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions. Springer, 2018.

Niu, Gang. Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions. Ingramcontent, 2016.

Morrell, Kevin, and Mark Learmonth. Evidence-Based Management. Edited by Adrian Wilkinson, Steven J. Armstrong, and Michael Lounsbury. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198708612.013.21.