Anton Borg
TitelCiteras avÅr
Finding Influential Users in Social Media Using Association Rule Learning
F Erlandsson, P Bródka, A Borg, H Johnson
Entropy 18 (5), 164, 2016
352016
Detecting serial residential burglaries using clustering
A Borg, M Boldt, N Lavesson, U Melander, V Boeva
Expert Systems with Applications 41 (11), 5252-5266, 2014
272014
Predicting User Participation in Social Media
F Erlandsson, A Borg, H Johnson, P Bródka
International Conference and School on Network Science, 126-135, 2016
112016
Crime hotspots: An evaluation of the KDE spatial mapping technique
E Johansson, C Gåhlin, A Borg
2015 European Intelligence and Security Informatics Conference, 69-74, 2015
112015
Comparison of Clustering Approaches for Gene Expression Data.
A Borg, N Lavesson, V Boeva
SCAI, 55-64, 2013
92013
Evaluating Temporal Analysis Methods Using Residential Burglary Data
M Boldt, A Borg
ISPRS International Journal of Geo-Information 5 (9), 148, 2016
72016
Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information
A Borg, M Boldt
International Journal of Information Technology & Decision Making 15 (01), 23-42, 2016
62016
On the simulation of a software reputation system
M Boldt, A Borg, B Carlsson
2010 International Conference on Availability, Reliability and Security, 333-340, 2010
52010
Predicting burglars’ risk exposure and level of pre-crime preparation using crime scene data
M Boldt, A Borg, M Svensson, J Hildeby
Intelligent Data Analysis 22 (1), 167-190, 2018
32018
E-mail Classification using Social Network Information
A Borg, N Lavesson
Availability, Reliability and Security (ARES), 2012 Seventh International …, 2012
32012
Seed selection for information cascade in multilayer networks
F Erlandsson, P Bródka, A Borg
International Conference on Complex Networks and their Applications, 426-436, 2017
22017
Informed software installation through license agreement categorization
A Borg, M Boldt, N Lavesson
2011 Information Security for South Africa, 1-8, 2011
22011
A Statistical Method for Detecting Significant Temporal Hotspots using LISA Statistics
M Boldt, A Borg
2017 European Intelligence and Security Informatics Conference (EISIC), 123-126, 2017
12017
Clustering residential burglaries using multiple heterogeneous variables
M Boldt, B Anton
International Journal of Information Technology & Decision Making, 2015
12015
Simulating malicious users in a software reputation system
A Borg, M Boldt, B Carlsson
FTRA International Conference on Secure and Trust Computing, Data Management …, 2011
12011
Anomaly detection of event sequences using multiple temporal resolutions and Markov chains
M Boldt, A Borg, S Ickin, J Gustafsson
Knowledge and Information Systems, 1-18, 2019
2019
Detecting Crime Series Based on Route Estimation and Behavioral Similarity
A Borg, M Boldt, J Eliasson
2017 European Intelligence and Security Informatics Conference (EISIC), 1-8, 2017
2017
Multi-expert estimations of burglars’ risk exposure and level of pre-crime preparation based on crime scene data
M Boldt, V Boeva, A Borg
30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS …, 2017
2017
On Descriptive and Predictive Models for Serial Crime Analysis
A Borg
Blekinge Institute of Technology, 2014
2014
En strukturerad metod för registrering och automatisk analys av brott
M Boldt, A Borg, U Melander
Fifth Nordic Police Research seminar, 2014
2014
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Artiklar 1–20