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20082026
most citedAnalyzing Business Process Anomalies Using Autoencoders

102 citations · 216 across the 20 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.SE2018★ 9 cited

A Systematic Approach to Constructing Families of Incremental Topology Control Algorithms Using Graph Transformation

Roland Kluge, Michael Stein, Gergely Varró +3

In the communication systems domain, constructing and maintaining network topologies via topology control (TC) algorithms is an important cross-cutting research area. Network topol…

cs.SE2018★ 6 cited

A Systematic Approach to Constructing Incremental Topology Control Algorithms Using Graph Transformation

Roland Kluge, Michael Stein, Gergely Varró +3

Communication networks form the backbone of our society. Topology control algorithms optimize the topology of such communication networks. Due to the importance of communication ne…

cs.AI2018★ 102 cited

Analyzing Business Process Anomalies Using Autoencoders

Timo Nolle, Stefan Luettgen, Alexander Seeliger +1

Businesses are naturally interested in detecting anomalies in their internal processes, because these can be indicators for fraud and inefficiencies. Within the domain of business…

cs.NI2018

PABO: Mitigating Congestion via Packet Bounce in Data Center Networks

Xiang Shi, Lin Wang, Fa Zhang +3

In today's data center, a diverse mix of throughput-sensitive long flows and delay-sensitive short flows are commonly presented in shallow-buffered switches. Long flows could poten…

cs.CR2018★ 2 cited

M-STAR: A Modular, Evidence-based Software Trustworthiness Framework

Nikolaos Alexopoulos, Sheikh Mahbub Habib, Steffen Schulz +1

Despite years of intensive research in the field of software vulnerabilities discovery, exploits are becoming ever more common. Consequently, it is more necessary than ever to choo…