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ORCIDKimmo Hätönen
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- affiliation: University of Helsinki, Finland
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2020 – today
- 2024
[j8]Maria Zubair, Maryam Sabzevari, Vikramajeet Khatri, Sasu Tarkoma, Kimmo Hätönen:
Access control for trusted data sharing. EURASIP J. Inf. Secur. 2024(1): 30 (2024)- 2022
- [j7]Naser Hossein Motlagh
, Shubham Kapoor, Rola Alhalaseh, Sasu Tarkoma, Kimmo Hätönen:
Quality of Monitoring for Cellular Networks. IEEE Trans. Netw. Serv. Manag. 19(1): 381-391 (2022) - 2020
- [j6]Volker Ziegler, Harish Viswanathan, Hannu Flinck, Marco Hoffmann, Vilho Räisänen, Kimmo Hätönen:
6G Architecture to Connect the Worlds. IEEE Access 8: 173508-173520 (2020)
2010 – 2019
- 2019
- [c21]Volker Ziegler, Thorsten Wild, Mikko A. Uusitalo, Hannu Flinck, Vilho Räisänen, Kimmo Hätönen:
Stratification of 5G evolution and Beyond 5G. 5G World Forum 2019: 329-334 - 2017
- [j5]Robin Babujee Jerome, Kimmo Hätönen:
Anomaly detection and classification using a metric for determining the significance of failures - Case study: mobile network management data from LTE network. Neural Comput. Appl. 28(6): 1265-1275 (2017) - 2016
- [c20]Gabriela F. Ciocarlie, Cherita Corbett, Eric Yeh, Christopher Connolly, Henning Sanneck, Muhammad Naseer ul Islam, Borislava Gajic, Szabolcs Nováczki, Kimmo Hätönen:
Diagnosis cloud: Sharing knowledge across cellular networks. CNSM 2016: 228-232 - [c19]Ville Kojola, Shubham Kapoor, Kimmo Hätönen:
Distributed Computing of Management Data in a Telecommunications Network. MONAMI 2016: 146-159 - 2015
- [c18]Robin Babujee Jerome, Kimmo Hätönen:
A Metric for Determining the Significance of Failures and Its Use in Anomaly Detection - Case Study: Mobile Network Management Data from LTE Network. EANN 2015: 171-180 - [c17]Teemu Kanstrén, Sami Lehtonen, Reijo Savola, Hilkka Kukkohovi, Kimmo Hätönen:
Architecture for High Confidence Cloud Security Monitoring. IC2E 2015: 195-200 - [c16]Gabriela F. Ciocarlie, Eric Yeh, Christopher Connolly, Cherita Corbett, Ulf Lindqvist, Henning Sanneck, Kimmo Hätönen, Szabolcs Nováczki, Muhammad Naseer ul Islam, Borislava Gajic:
Alarm Prioritization and Diagnosis for Cellular Networks. MONAMI 2015: 28-42 - [c15]Raimo Hilden, Kimmo Hätönen:
A Method for Deriving and Testing Malicious Behavior Detection Rules. TrustCom/BigDataSE/ISPA (1) 2015: 1337-1342 - 2014
- [c14]Tuomas Kekkonen, Teemu Kanstrén, Kimmo Hätönen:
Towards Trusted Environment in Cloud Monitoring. ITNG 2014: 180-185 - 2013
- [j4]Pekka Kumpulainen, Kimmo Hätönen:
EANN 2012: exploratory analysis of mobile phone traffic patterns using 1-dimensional SOM, clustering and anomaly detection. Evol. Syst. 4(4): 251-265 (2013) - [j3]Pekka Kumpulainen, Mika Särkioja, Mikko Kylväjä, Kimmo Hätönen:
Analysing 3G radio network performance with fuzzy methods. Neurocomputing 107: 49-58 (2013) - 2012
- [c13]Pekka Kumpulainen, Kimmo Hätönen:
Characterizing Mobile Network Daily Traffic Patterns by 1-Dimensional SOM and Clustering. EANN 2012: 325-333 - 2011
- [c12]Pekka Kumpulainen, Mika Särkioja, Mikko Kylväjä, Kimmo Hätönen:
Finding 3G Mobile Network Cells with Similar Radio Interface Quality Problems. EANN/AIAI (1) 2011: 392-401 - [c11]Pekka Kumpulainen, Mika Särkioja, Mikko Kylväjä, Kimmo Hätönen:
Analyzing 3G Quality Distribution Data with Fuzzy Rules and Fuzzy Clustering. EANN/AIAI (1) 2011: 402-411 - 2010
- [c10]Perttu Halonen, Kimmo Hätönen:
Towards holistic security management through coherent measuring. ECSA Companion Volume 2010: 155-161 - [c9]Teemu Kanstrén, Reijo Savola, Antti Evesti, Heimo Pentikäinen, Artur Hecker, Moussa Ouedraogo, Kimmo Hätönen, Perttu Halonen, Christophe Blad, Óscar López, Saioa Ros:
Towards an abstraction layer for security assurance measurements: (invited paper). ECSA Companion Volume 2010: 189-196
2000 – 2009
- 2009
- [c8]Perttu Halonen, Markus Miettinen, Kimmo Hätönen:
Computer Log Anomaly Detection Using Frequent Episodes. AIAI 2009: 417-422 - 2008
- [j2]Pekka Kumpulainen, Kimmo Hätönen:
Local anomaly detection for mobile network monitoring. Inf. Sci. 178(20): 3840-3859 (2008) - 2004
- [c7]Kimmo Hätönen, Mika Klemettinen, Markus Miettinen:
Remarks on the Industrial Application of Inductive Database Technologies. Constraint-Based Mining and Inductive Databases 2004: 196-215 - [p1]Kimmo Hätönen, Mika Klemettinen:
Domain Structures in Filtering Irrelevant Frequent Patterns. Database Support for Data Mining Applications 2004: 289-305 - 2003
- [j1]Jukka K. Nurminen, Olli Karonen, Kimmo Hätönen:
What makes expert systems survive over 10 years - empirical evaluation of several engineering applications. Expert Syst. Appl. 24(2): 199-211 (2003) - [c6]Kimmo Hätönen, Jean-François Boulicaut, Mika Klemettinen, Markus Miettinen, Cyrille Masson:
Comprehensive Log Compression with Frequent Patterns. DaWaK 2003: 360-370 - [c5]Kimmo Hätönen, Perttu Halonen, Mika Klemettinen, Markus Miettinen:
Queryable Lossless Log Database Compression. KDID 2003: 70-79 - 2002
- [c4]Kimmo Hätönen, Mika Klemettinen:
Domain Structures in Filtering Irrelevant Frequent Patterns. KDID 2002: 50-60 - 2000
- [c3]Albert J. Höglund, Kimmo Hätönen, Antti S. Sorvari:
A Computer Host-Based User Anomaly Detection System Using the Self-Organizing Map. IJCNN (5) 2000: 411-416
1990 – 1999
- 1996
- [c2]Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996: 115-122 - [c1]Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
TASA: Telecommunication Alarm Sequence Analyzer or how to enjoy faults in your network. NOMS 1996: 520-529
Coauthor Index
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last updated on 2024-09-19 00:34 CEST by the dblp team
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