http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Utilizing big data paradigms for business intelligence
Analysis of operation performance of blast furnace with machine learning methods / Kuo-Wei Hsu, National Chengchi University, Taiwan, Yung-Chang Ko, China Steel Corporation, Taiwan -- Big data analytics in healthcare sector / Sheik Abdullah A, Thiagarajar College of Engineering, India, Selvakumar S, Department of Computer Science & Engineering, G.K.M College of Engineering & Technology, India, Parkavi R, Thiagarajar College of Engineering, India, Suganya R, Thiagarajar College of Engineering, India -- Scalable warehousing with bigdata technologies : spark and hadoop / Pedro Furtado, Universidade de Coimbra, Portugal -- Data architecture: a sustainable foundation for data exploitation / Sabri Skhiri, EURA NOVA, Belgium, Cyrille Duverne, EURANOVA, Belgium, Aymen Cherif, EURANOVA, Belgium -- A survey of parallel indexing techniques for large-scale moving object databases / Eleazar Leal, University of Oklahoma, United States, Le Gruenwald, University of Oklahoma, United States, Jianting Zhang, City College of New York, United States -- Applications of artificial intelligence in the realm of business intelligence / Prakhar Mehrotra, Uber Technologies, United States -- C-idea : a fast algorithm for computing emerging closed datacubes / Mickaël Martin-Nevot, Aix-Marseille Université, France, Sébastien Nedjar, Laboratoire d'Informatique Fondamentale de Marseille, France, Lotfi LAKHAL, Laboratoire d'Informatique Fondamentale de Marseille (LIF), France Rosine, Cicchetti, Laboratoire d'Informatique Fondamentale de Marseille, France -- Classification method of quick secure access to sensitive patients data by the iris of the eye : using pretopological aspects and b-tree / Franjieh El Khoury, Université de Lyon, Canada -- Large multivariate time series forecasting : survey on methods and scalability / Youssef Hmamouche, Laboratoire d'Informatique Fondamentale de Marseille, AIX-MARSEILLE UNIVERSITY -- Exploring multiple, dynamic social networks in computer-mediated communications : an experimentally validated ecosystem / O. Osesina, Aware Inc., United States, M. Eduard Tudoreanu, University of Arkansas at Little Rock, United States, John MCINTIRE, USAF AFRL, United States, Paul Havig, USAF AFRL, United States, Eric Geiselman, AFRL 711HPW/RHCV, United States -- .
Jerome Darmont and Sabine Loudcher, editors.
Hershey : Business Science Reference, [2018]