test_searchengines (tests.test_searchengine.TestSearchEngine)
test search engines ... Starting test test_searchengines, debug=False ...
Yahoo
[{'descriptions': 'Most current clustering methods rely only on the properties '
'that belong to the objects per se. However, the '
'similarities between objects are often indicated by the '
'links, and desirable clusters cannot be generated using '
'only the properties of objects.In this paper we explore '
'linkage-based clustering, in which the similarity between '
'two objects is measured based on the similarities between '
'the objects linked with them.',
'links': 'https://www.semanticscholar.org/paper/LinkClus%253A-efficient-clustering-via-heterogeneous-Yin-Han/4b15027c951168f6e6fe2307dac1c15b87a77ea7',
'titles': 'www.semanticscholar.org › paper › LinkClus:-efficientLinkClus: '
'efficient clustering via heterogeneous semantic links'},
{'descriptions': 'An efficient algorithm is proposed to compute similarities '
'between ob- jects by avoiding pairwise similarity '
'computations through merging computations that go through '
'the same branches in the...',
'links': 'https://www.researchgate.net/publication/200110771_LinkClus_efficient_clustering_via_heterogeneous_semantic_links',
'titles': 'www.researchgate.net › publication › 200110771LinkClus: efficient '
'clustering via heterogeneous semantic links'},
{'descriptions': 'Based on SimTree, we propose LinkClus, an efficient and '
'accurate approach for linkage-based clustering. At the '
'be-ginning LinkClus builds a SimTree for each type of '
'objects in abottom-upmanner, '
'byfindinggroupsofobjects(orgroups of lower level nodes) that '
'are similar to each other. Because inter-object similarity '
'is not available yet, the similarity be-',
'links': 'http://hanj.cs.illinois.edu/pdf/vldb06_linkclus.pdf',
'titles': 'hanj.cs.illinois.edu › pdf › vldb06_linkclusLinkClus: Efficient '
'Clustering via Heterogeneous Semantic Links'},
{'descriptions': 'Most current clustering methods rely only on the properties '
'that belong to the objects per se. However, the '
'similarities between objects are often indicated by the '
'links, and desirable clusters cannot be generated using '
'only the properties of objects.In this paper we explore '
'linkage-based clustering, in which the similarity between '
'two objects is measured based on the similarities between '
'the objects linked with them.',
'links': 'https://typeset.io/papers/linkclus-efficient-clustering-via-heterogeneous-semantic-3rhbgx745a',
'titles': 'typeset.io › papers › linkclus-efficient-clusteringLinkClus: '
'efficient clustering via heterogeneous semantic links'}]
Bing
[{'descriptions': "Home Conferences VLDB Proceedings VLDB '06 LinkClus: "
'efficient clustering via heterogeneous semantic links. '
'Article . Share on. LinkClus: efficient clustering via …',
'links': 'https://dl.acm.org/doi/10.5555/1182635.1164165',
'titles': 'LinkClus: efficient clustering via heterogeneous semantic links'},
{'descriptions': 'Links contain rich semantic information that may indicate '
'important relationships among objects. Most current '
'clustering methods rely only on the properties that belong '
'to the objects per se. …',
'links': 'https://www.semanticscholar.org/paper/LinkClus%3A-efficient-clustering-via-heterogeneous-Yin-Han/4b15027c951168f6e6fe2307dac1c15b87a77ea7',
'titles': 'LinkClus: efficient clustering via heterogeneous semantic links'},
{'descriptions': '01.01.2006\xa0· An efficient algorithm is proposed to '
'compute similarities between ob- jects by avoiding pairwise '
'similarity computations through merging computations that '
'go through the …',
'links': 'https://www.researchgate.net/publication/200110771_LinkClus_efficient_clustering_via_heterogeneous_semantic_links',
'titles': 'LinkClus: efficient clustering via heterogeneous semantic links'},
{'descriptions': 'Based on SimTree, we propose LinkClus, an efficient and '
'accurate approach for linkage-based clustering. At the '
'be-ginning LinkClus builds a SimTree for each type of '
'objects in abottom …',
'links': 'http://hanj.cs.illinois.edu/pdf/vldb06_linkclus.pdf',
'titles': 'LinkClus: Efficient Clustering via Heterogeneous Semantic Links'},
{'descriptions': 'Links contain rich semantic information that may indicate '
'important relationships among objects. Most current '
'clustering methods rely only on the properties that belong '
'to the objects per se. …',
'links': 'https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.111.4090',
'titles': 'CiteSeerX — LinkClus: Efficient clustering via heterogeneous …'},
{'descriptions': 'Links contain rich semantic information that may indicate '
'important relationships among objects. Most current '
'clustering methods rely only on the properties that belong '
'to the objects per se. …',
'links': 'https://core.ac.uk/display/24613900',
'titles': 'LinkClus: Efficient clustering via heterogeneous semantic links'},
{'descriptions': 'LinkClus: efficient clustering via heterogeneous semantic '
"links. X. Yin, J. Han, and P. Yu. VLDB '06: Proceedings of "
'the 32nd international conference on Very large data bases '
', page …',
'links': 'https://www.bibsonomy.org/bibtex/21bd4bf36a2409d4332b811c5ff7a9e12/chato?lang=en',
'titles': 'LinkClus: efficient clustering via heterogeneous semantic links'},
{'descriptions': 'LinkClus: Efficient cl... × Publication title. Zitation zur '
'lokalen Zwischenablage hinzufügen. Schließen. Kopieren '
'Löschen Diese Publikation zur Ablage hinzufügen. '
'Community-Eintrag; …',
'links': 'https://www.bibsonomy.org/bibtex/22076058436f0906be83a070739c36f23/nijkamp?lang=de',
'titles': 'LinkClus: Efficient clustering via heterogeneous semantic links'},
{'descriptions': 'Link. Clus: Efficient Clustering via Heterogeneous Semantic '
'Links Int. Conf. on Very Large Data Bases (VLDB’ 06) X. '
'Yin, J. Han and P. S. Yu Junho Park Chungbuk National '
'University …',
'links': 'https://slidetodoc.com/link-clus-efficient-clustering-via-heterogeneous-semantic-links-3/',
'titles': 'Link Clus Efficient Clustering via Heterogeneous Semantic Links'},
{'descriptions': 'LinkClus: Efficient cl... × Publication title. Copy '
'citation to your local clipboard. close. copy delete add '
'this publication to your clipboard. community post; history '
'of this post; URL; DOI; BibTeX; …',
'links': 'https://www.bibsonomy.org/bibtex/22076058436f0906be83a070739c36f23/nijkamp',
'titles': 'LinkClus: Efficient clustering via heterogeneous semantic links'}]
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