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Nordahl, Christian
Publications (2 of 2) Show all publications
Nordahl, C., Grahn, H., Persson, M. & Boeva, V. (2018). Organizing, Visualizing and Understanding Households Electricity Consumption Data through Clustering Analysis.. In: Organizing, Visualizing and Understanding Households Electricity Consumption Data through Clustering Analysis: . Paper presented at 2ND WORKSHOP ON AI FOR AGING, REHABILITATION AND INDEPENDENT ASSISTED LIVING (ARIAL) @IJCAI'18, Stockholm. https://sites.google.com/view/arial2018/accepted-papersprogram
Open this publication in new window or tab >>Organizing, Visualizing and Understanding Households Electricity Consumption Data through Clustering Analysis.
2018 (English)In: Organizing, Visualizing and Understanding Households Electricity Consumption Data through Clustering Analysis, https://sites.google.com/view/arial2018/accepted-papersprogram , 2018Conference paper, Published paper (Refereed)
Abstract [en]

We propose a cluster analysis approach for organizing, visualizing and understanding households’ electricity consumption data. We initially partition the consumption data into a number of clusters with similar daily electricity consumption profiles. The centroids of each cluster can be seen as representative signatures of a household’s electricity consumption behaviors. We evaluate the proposed approach by conducting a number of experiments on electricity consumption data of ten selected households. Our results show that the approach is suitable for data analysis, understanding and creating electricity consumption behavior models.

Place, publisher, year, edition, pages
https://sites.google.com/view/arial2018/accepted-papersprogram, 2018
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:bth-17439 (URN)
Conference
2ND WORKSHOP ON AI FOR AGING, REHABILITATION AND INDEPENDENT ASSISTED LIVING (ARIAL) @IJCAI'18, Stockholm
Projects
BigData@BTH
Available from: 2018-12-19 Created: 2018-12-19 Last updated: 2019-01-16Bibliographically approved
Abdelraheem, M. A., Gehrmann, C., Lindström, M. & Nordahl, C. (2016). Executing Boolean queries on an encrypted Bitmap index. In: CCSW 2016 - Proceedings of the 2016 ACM Cloud Computing Security Workshop, co-located with CCS 2016: . Paper presented at 8th ACM Cloud Computing Security Workshop, CCSW,Vienna (pp. 11-22). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Executing Boolean queries on an encrypted Bitmap index
2016 (English)In: CCSW 2016 - Proceedings of the 2016 ACM Cloud Computing Security Workshop, co-located with CCS 2016, Association for Computing Machinery (ACM), 2016, p. 11-22Conference paper, Published paper (Refereed)
Abstract [en]

We propose a simple and efficient searchable symmetric encryption scheme based on a Bitmap index that evaluates Boolean queries. Our scheme provides a practical solution in settings where communications and computations are very constrained as it offers a suitable trade-off between privacy and performance.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016
Keywords
Bitmap index, Boolean query, Conjunctive search, Searchable symmetric encryption, Cloud computing, Economic and social effects, Bitmap indexes, Boolean queries, Practical solutions, Symmetric encryption, Symmetric encryption schemes, Trade off, Cryptography
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:bth-13648 (URN)10.1145/2996429.2996436 (DOI)000390888900003 ()2-s2.0-85001776518 (Scopus ID)9781450345729 (ISBN)
Conference
8th ACM Cloud Computing Security Workshop, CCSW,Vienna
Available from: 2016-12-21 Created: 2016-12-21 Last updated: 2018-01-13Bibliographically approved
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