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c-treeACE

Known as: C-tree, Ctree 
c-treeACE is a cross-platform database engine developed by FairCom Corporation. Software developers typically embed the c-treeACE engine within the… 
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Related topics

Related topics

30 relations
ACIDADO.NET data providerAIXApplication programming interface

Broader (1)

NoSQL

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Development of a Two-Stage ESS-Scheduling Model for Cost Minimization Using Machine Learning-Based Load Prediction Techniques
Effective use of energy storage systems (ESS) is important to reduce unnecessary power consumption. In this paper, a day-ahead… 
2015
2015
Towards building a predictive model for remote river quality monitoring for mining sites
Most, if not all, mining sites in the Philippines are not equipped with expensive or modern monitoring tools to check for quality… 
2013
2013
Recursive partitioning techniques for modeling irrigation behavior
2011
2011
Towards a Framework for Detecting and Managing Opinion Contradictions
Sentiment Analysis gains in interest due to the large amount of potential applications and the increasing number of opinions… 
2009
2009
Applying Dewey Encoding to Construct XML Index for Path and Keyword Query
Path and Keyword search in XML documents has recently become an active area of research, in which constructing an effective index… 
2009
2009
Exploring queriability of encrypted and compressed XML data
When large XML documents are shared, documents compression and encryption become simultaneously important for efficient and… 
2008
2008
Faster Path Indexes for Search in XML Data
This article describes how to implement efficient memory resident path indexes for semi-structured data. Two techniques are… 
2004
2004
Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms
Data reduction is a basic step in a KDD process useful for delivering to successive stages more concise and meaningful data. When… 
1999
1999
Scale-space Trees and Applications as Filters for Stereo Vision and Image Retrieval
Images are re-mapped as scale-space trees. The minimal data structure is then augmented by “complement nodes” to increase the… 
1993
1993
Maximum Split Clustering Under Connectivity Constraints
Consider N entities to be classified (e.g., geographical areas), a matrix of dissimilarities between pairs of entities, a graph H… 
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