Zobrazeno 1 - 10
of 37
pro vyhledávání: '"William H. Money"'
Publikováno v:
Journal of Computer Information Systems. 62:940-953
Software project failure has cost trillions of dollars over the past fifty years. The many reasons for failure are widely discussed in the project management and software development literatures. T...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bebed21309210a5e209e1734268ba36f
https://doi.org/10.1080/08874417.2021.1950076
https://doi.org/10.1080/08874417.2021.1950076
Autor:
Benjamin P. Dean, William H. Money
Publikováno v:
Computers & Education. 138:57-82
The present study reviews and analyzes recent literature relevant to learning online in higher education. This study applied a content-based method for collecting and evaluating recently published studies relating to populations of students engaged i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::130965e0d6830bd92b79b860dc52d686
https://doi.org/10.1016/j.compedu.2019.03.013
https://doi.org/10.1016/j.compedu.2019.03.013
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d71d1015582a669f6a50bdefdb3f034
https://doi.org/10.24251/hicss.2021.117
https://doi.org/10.24251/hicss.2021.117
Publikováno v:
International Journal of Systems and Service-Oriented Engineering. 8:43-68
The world of data has been evolving due to the expansion of operations and the complexity of the data processed by systems. Big Data is no longer numbers and characters but are now unstructured data types collected by a variety of devices. Recent wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa4f4fe6a6ef67f880cb2d83b115534b
https://doi.org/10.4018/ijssoe.2018100103
https://doi.org/10.4018/ijssoe.2018100103
Autor:
William H. Money, Stephen J. Cohen
Publikováno v:
International Journal of Knowledge Management. 14:30-50
This article analyzes the properties of unknown faults in knowledge management and Big Data systems processing Big Data in real-time. These faults introduce risks and threaten the knowledge pyramid and decisions based on knowledge gleaned from volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d0c4c999083b2ac3d1639ea0fab38b1
https://doi.org/10.4018/ijkm.2018010103
https://doi.org/10.4018/ijkm.2018010103
Publikováno v:
International Journal of Systems and Service-Oriented Engineering. 7:1-23
Big Data refers to data volumes in the range of exabytes (1018th) requiring processing from distributed on-line storage systems with thousands of processors, mainframes or supercomputers where processing speed is measured in GFLOPS. The rate at which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d409026f571ce4b50aceb6105de1ba4
https://doi.org/10.4018/ijssoe.2017040101
https://doi.org/10.4018/ijssoe.2017040101
Autor:
Stephen J. Cohen, William H. Money
Publikováno v:
Current Issues and Trends in Knowledge Management, Discovery, and Transfer
Processing big data in real time creates threats to the validity of the knowledge produced. This chapter discusses problems that may occur within the real-time data and the risks to the knowledge pyramid and decisions made based upon the knowledge gl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75e22f116a35b9f613fcec51a9215bfc
https://doi.org/10.4018/978-1-7998-2189-2.ch014
https://doi.org/10.4018/978-1-7998-2189-2.ch014
Autor:
Stephen J. Cohen, William H. Money
Publikováno v:
WWW (Companion Volume)
Cities have entered the age of the sensor and located sensors everywhere over and under cities. The sensors monitor a host of factors that assess City operations and life such as air quality, noise, city services and traffic. Further, the sensors hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3774c753380e72f7db5ea97eafa03b14
https://doi.org/10.1145/3308560.3317049
https://doi.org/10.1145/3308560.3317049
Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization. It discusses the technical architecture necessary to implement a big data analysis capability, some issues and
This volume will assist readers in fitting big data analysis into their service-based organizations.Volume I of this two-volume series focuses on the role of big data in service delivery systems. It discusses the definition and orientation to big dat