87 citations · 304 across the 25 of their papers we have counts for
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TextBenDS: a generic Textual data Benchmark for Distributed Systems
Ciprian-Octavian Truica, Elena Apostol, Jérôme Darmont +1
Extracting top-k keywords and documents using weighting schemes are popular techniques employed in text mining and machine learning for different analysis and retrieval tasks. The…
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes
Ciprian-Octavian Truică, Elena-Simona Apostol, Jérôme Darmont +1
In the current context of Big Data, a multitude of new NoSQL solutions for storing, managing, and extracting information and patterns from semi-structured data have been proposed a…
Performance evaluation for CRUD operations in asynchronously replicated document oriented database
Ciprian-Octavian Truică, Florin Rădulescu, Alexandru Boicea +1
NoSQL databases are becoming increasingly popular as more developers seek new ways for storing information. The popularity of these databases has risen due to their flexibility and…
Benchmarking Top-K Keyword and Top-K Document Processing with TK and TKD
Ciprian-Octavian Truica, Jérôme Darmont, Alexandru Boicea +1
Top-k keyword and top-k document extraction are very popular text analysis techniques. Top-k keywords and documents are often computed on-the-fly, but they exploit weighted vocabul…
A Scalable Document-based Architecture for Text Analysis
Ciprian-Octavian Truică, Jérôme Darmont, Julien Velcin
Analyzing textual data is a very challenging task because of the huge volume of data generated daily. Fundamental issues in text analysis include the lack of structure in document…