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Tree edit distance: Robust and memory-efficient
Hierarchical data are often modelled as trees. An interesting query identifies pairs of similar
trees. The standard approach to tree similarity is the tree edit distance, which has …
trees. The standard approach to tree similarity is the tree edit distance, which has …
RTED: a robust algorithm for the tree edit distance
We consider the classical tree edit distance between ordered labeled trees, which is defined
as the minimum-cost sequence of node edit operations that transform one tree into another …
as the minimum-cost sequence of node edit operations that transform one tree into another …
Efficient computation of the tree edit distance
We consider the classical tree edit distance between ordered labelled trees, which is
defined as the minimum-cost sequence of node edit operations that transform one tree into …
defined as the minimum-cost sequence of node edit operations that transform one tree into …
A context-aware recommendation system for improving manufacturing process modeling
J Wang, S Gao, Z Tang, D Tan, B Cao, J Fan - Journal of Intelligent …, 2023 - Springer
Process recommendation is an essential technique to help process modeler effectively and
efficiently model a manufacturing process from scratch. However, the current process …
efficiently model a manufacturing process from scratch. However, the current process …
Next-step suggestions for modern interactive data analysis platforms
Modern Interactive Data Analysis (IDA) platforms, such as Kibana, Splunk, and Tableau, are
gradually replacing traditional OLAP/SQL tools, as they allow for easy-to-use data …
gradually replacing traditional OLAP/SQL tools, as they allow for easy-to-use data …
Set similarity joins on mapreduce: An experimental survey
Set similarity joins, which compute pairs of similar sets, constitute an important operator
primitive in a variety of applications, including applications that must process large amounts …
primitive in a variety of applications, including applications that must process large amounts …
The continuous hint factory-providing hints in vast and sparsely populated edit distance spaces
Intelligent tutoring systems can support students in solving multi-step tasks by providing
hints regarding what to do next. However, engineering such next-step hints manually or via …
hints regarding what to do next. However, engineering such next-step hints manually or via …
[PDF][PDF] Clustering by authorship within and across documents
The vast majority of previous studies in authorship attribution assume the existence of
documents (or parts of documents) labeled by authorship to be used as training instances in …
documents (or parts of documents) labeled by authorship to be used as training instances in …
Efficient processing of graph similarity queries with edit distance constraints
Graphs are widely used to model complicated data semantics in many applications in
bioinformatics, chemistry, social networks, pattern recognition, etc. A recent trend is to …
bioinformatics, chemistry, social networks, pattern recognition, etc. A recent trend is to …
Toward Data-Driven Example Feedback for Novice Programming.
Viewing worked examples before problem solving has been shown to improve learning
efficiency in novice programming. Example-based feedback seeks to present smaller …
efficiency in novice programming. Example-based feedback seeks to present smaller …