13 citations · 38 across the 9 of their papers we have counts for
9 papers
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
Hamed Rahimi, Hubert Naacke, Camelia Constantin +1
This paper presents ATEM, a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that…
Contextualized Topic Coherence Metrics
Hamed Rahimi, Jacob Louis Hoover, David Mimno +3
The recent explosion in work on neural topic modeling has been criticized for optimizing automated topic evaluation metrics at the expense of actual meaningful topic identification…
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
Hamed Rahimi, Hubert Naacke, Camelia Constantin +1
This paper presents an algorithmic family of dynamic topic models called Aligned Neural Topic Models (ANTM), which combine novel data mining algorithms to provide a modular framewo…
Controlling the Correctness of Aggregation Operations During Sessions of Interactive Analytic Queries
Eric Simon, Bernd Amann, Rutian Liu +1
We present a comprehensive set of conditions and rules to control the correctness of aggregation queries within an interactive data analysis session. The goal is to extend self-ser…
State-of-the-Art on Query & Transaction Processing Acceleration
Bernd Amann, Youry Khmelevsky, Gaetan Hains
The vast amount of processing power and memory bandwidth provided by modern Graphics Processing Units (GPUs) make them a platform for data-intensive applications. The database comm…
Continuous Top-k Queries over Real-Time Web Streams
Nelly Vouzoukidou, Bernd Amann, Vassilis Christophides
The Web has become a large-scale real-time information system forcing us to revise both how to effectively assess relevance of information for a user and how to efficiently impleme…