Add to ORKGEdit distance similarity search, also called approximate pattern matching, is a fundamental problem ...
The concept of similarity is used as the basis for many data exploration and data mining tasks. Near...
One of the most fundamental operations employed in data mining tasks such as classification, cluster...
Approximate query processing based on multiple similarity metrics is prevalent and essential for man...
Similarity search is important in information retrieval applications where objects are usually repre...
Similarity search problems in high-dimensional data arise in many areas of computer science such as ...
Similarity search has become one of the important parts of many applications including multimedia re...
Finding nearest neighbors in large multi-dimensional data has always been one of the research intere...
Artículo de publicación ISIProximity searching is the problem of retrieving,from a given database, t...
Hu Ke.Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.Includes bibliographical references (l...
The k-Nearest Neighbor query (k-NNq) is one of the most useful similarity queries. Elaborated k-NNq ...
Today, a myriad of data sources, from the Internet to business operations to scientific instruments,...
by Sze-Kin Lam.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical refe...
Similarity search based on a distance function in metric spaces is a fundamental problem for many ap...
In this paper, we present continuous research on data analysis based on our previous work on similar...
Edit distance similarity search, also called approximate pattern matching, is a fundamental problem ...
The concept of similarity is used as the basis for many data exploration and data mining tasks. Near...
One of the most fundamental operations employed in data mining tasks such as classification, cluster...
Approximate query processing based on multiple similarity metrics is prevalent and essential for man...
Similarity search is important in information retrieval applications where objects are usually repre...
Similarity search problems in high-dimensional data arise in many areas of computer science such as ...
Similarity search has become one of the important parts of many applications including multimedia re...
Finding nearest neighbors in large multi-dimensional data has always been one of the research intere...
Artículo de publicación ISIProximity searching is the problem of retrieving,from a given database, t...
Hu Ke.Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.Includes bibliographical references (l...
The k-Nearest Neighbor query (k-NNq) is one of the most useful similarity queries. Elaborated k-NNq ...
Today, a myriad of data sources, from the Internet to business operations to scientific instruments,...
by Sze-Kin Lam.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical refe...
Similarity search based on a distance function in metric spaces is a fundamental problem for many ap...
In this paper, we present continuous research on data analysis based on our previous work on similar...
Edit distance similarity search, also called approximate pattern matching, is a fundamental problem ...
The concept of similarity is used as the basis for many data exploration and data mining tasks. Near...
One of the most fundamental operations employed in data mining tasks such as classification, cluster...