Finding patterns in graphs is a fundamental problem in databases and data mining. In many applications, graphs are temporal and evolve over time, so we are interested in finding …
AR Alizade Nikoo, MH Böhlen, S Helmer - … of the ACM on Management of …, 2023 - dl.acm.org
A common analysis task over a stream of time series is to find all pairs of windows whose correlation is above a given threshold. For a large number of streams, doing so naively, ie …
Database queries can produce a huge output that is infeasible to compute, regardless of the algorithm or system that processes them. This can often occur when the query joins large …
Continuous queries over unbounded data streams have emerged as an important query type in a wide variety of applications. Due to the ubiquity of sensors and sensor networks …
ARA Nikoo, MH Böhlen, S Helmer - Proc. ACM Manag. Data, 2023 - scholar.archive.org
Due to the ubiquity of sensors and sensor networks, the analysis of time series data in a timely manner or (near) real-time has gained in importance. Time series data analysis can …
K Kurita, K Wasa - Theoretical Computer Science, 2024 - Elsevier
K-best enumeration, which asks to output k-best solutions without duplication, is a helpful tool in data analysis for many fields. In such fields, graphs typically represent data. Thus …
In this thesis we are going to propose efficient algorithms and data structures to handle similarity join queries over any number of constant relations in the dynamic setting with …
抄録 One way to measure the efficiency of enumeration algorithms is to evaluate it with respect to the input size and the number of solutions. Since the number of solutions can be …