
Hyper-lattice Algebraic Model for Data Warehousing
Springer (Publisher)
Published on 29. January 2016
Book
Paperback/Softback
X, 63 pages
978-3-319-28042-4 (ISBN)
Description
This book presents Hyper-lattice, a new algebraic model for partially ordered sets, and an alternative to lattice. The authors analyze some of the shortcomings of conventional lattice structure and propose a novel algebraic structure in the form of Hyper-lattice to overcome problems with lattice. They establish how Hyper-lattice supports dynamic insertion of elements in a partial order set with a partial hierarchy between the set members. The authors present the characteristics and the different properties, showing how propositions and lemmas formalize Hyper-lattice as a new algebraic structure.
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
18 s/w Abbildungen
X, 63 p. 18 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 5 mm
Weight
131 gr
ISBN-13
978-3-319-28042-4 (9783319280424)
DOI
10.1007/978-3-319-28044-8
Schweitzer Classification
Other editions
Additional editions

Soumya Sen | Agostino Cortesi | Nabendu Chaki
Hyper-lattice Algebraic Model for Data Warehousing
E-Book
01/2016
Springer
€53.49
Available for download
Persons
Soumya Sen is an Assistant Professor at A. K. Choudhury School of Information Technology, University of Calcutta. He received his Ph.D. (Tech) degree from the Department of Computer Science and Engineering, at the same university, in 2016. Before joining A. K. Choudhury School of Information Technology, he worked at IBM India Pvt. Ltd and RS Software. His industrial expertise includes ERP and data warehousing. Currently his research interests are data warehousing and OLAP tools, data mining, big data, service engineering, distributed databases, and machine learning. He has published 1 book, 70 research papers in peer-reviewed journals and international conferences and registered 3 patents in USA, Japan and South Korea. Dr. Sen is a PC member and reviewer for numerous International conferences. Anjan Dutta was born in Kolkata, India, in 1986. He received his B.Tech degree in Information Technology from West Bengal University of Technology in 2008 and M.Tech in Information Technology in 2011 from Calcutta University.He served in IXIA Technologies LTD and TATA Consultancy Services Ltd. (TCSL) over 6 years of period. Initially he worked as a protocol developer in IXIA Technologies LTD and worked on 3gpp wireless protocols. Thereafter he worked as an IT Analyst in TATA Consultancy Services Ltd.(TCSL) Form July, 2011 to July, 2017. He is now employed as an Assistant Professor in Department of Information Technology, Techno India College of Technology, India. He is an active researcher in the field of Big Data, Data Mining, Audio processing and Audio classification etc.
Nilanjan Dey was born in Kolkata, India, in 1984. He received his B.Tech. degree inInformation Technology from West Bengal University of Technology in 2005, M.Tech.in Information Technology in 2011 from the same University and Ph.D. in digital image processing in 2015 from Jadavpur University, India.In 2011, he was appointed as an Assistant Professor in the Department of Information Technology at JIS College of Engineering, Kalyani, India followed by Bengal College of Engineering College, Durgapur, India in 2014. He is now employed as an Assistant Professor in Department of Information Technology, Techno India College of Technology, India. He is a visiting fellow of the University of Reading, UK. His research topic is signal processing, machine learning and information security.Dr. Dey is an Associate Editor of IEEE ACCESS and is currently the Editor in-Chief of the International Journal of Ambient Computing and Intelligence. Series Co-editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier and Springer Tracts in Nature-Inspired Computing (STNIC).
Content
Hyper Lattice.- Applications of Hyper-Lattice in Real Life.- Generating Co-Operative Queries over Concept Hierarchies.- Conclusions.