Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Filip Nalepa"'
Publikováno v:
ICNC-FSKD
A variety of applications have been using content-based similarity search techniques. Higher effectiveness of the search can be, in some cases, achieved by submitting multiple similar queries. We propose new approximation techniques that are speciall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5834ea844757b03ce1b2a34716b030ba
https://doi.org/10.1109/fskd.2018.8687208
https://doi.org/10.1109/fskd.2018.8687208
Publikováno v:
IDEAS
An important functionality of current social applications is real-time recommendation, which is responsible for suggesting relevant published data to the users based on their preferences. By representing the users and the published data in a metric s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::679f8bac77fd2054c3c2e310485af114
https://doi.org/10.1145/3216122.3216159
https://doi.org/10.1145/3216122.3216159
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783662583838
Current era of digital data explosion calls for employment of content-based similarity search techniques, since traditional searchable metadata like annotations are not always available. In our work, we focus on a scenario where the similarity search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82257acb0c42dd2e2ede9569eed7365d
https://doi.org/10.1007/978-3-662-58384-5_3
https://doi.org/10.1007/978-3-662-58384-5_3
Publikováno v:
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783319957852
ICDM
ICDM
Real-time recommendation is a necessary component of current social applications. It is responsible for suggesting relevant newly published data to the users based on their preferences. By representing the users and the published data in a metric spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c5277c65895d641b13552a44c74280
https://doi.org/10.1007/978-3-319-95786-9_14
https://doi.org/10.1007/978-3-319-95786-9_14
Publikováno v:
Advances in Databases and Information Systems ISBN: 9783319669168
ADBIS
ADBIS
Current era of digital data explosion calls for employment of content-based similarity search techniques since traditional searchable metadata like annotations are not always available. In our work, we focus on a scenario where the similarity search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d431760d306193feb7a308e915c02bbf
https://doi.org/10.1007/978-3-319-66917-5_18
https://doi.org/10.1007/978-3-319-66917-5_18
Publikováno v:
Similarity Search and Applications ISBN: 9783319684734
SISAP
SISAP
Content-based similarity search techniques have been employed in a variety of today applications. In our work, we aim at the scenario when the similarity search is applied in the context of stream processing. In particular, there is a stream of query
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484f418735ebd0e573a4ea31527acf82
https://doi.org/10.1007/978-3-319-68474-1_2
https://doi.org/10.1007/978-3-319-68474-1_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319444055
DEXA (2)
DEXA (2)
A lot of multimedia data are being created nowadays, which can only be searched by content since no searching metadata are available for them. To make the content search efficient, similarity indexing structures based on the metric-space model can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5beb10c61a2ce93a4bacbb2470b53f23
https://doi.org/10.1007/978-3-319-44406-2_14
https://doi.org/10.1007/978-3-319-44406-2_14
Publikováno v:
Mathematical and Engineering Methods in Computer Science ISBN: 9783319298160
MEMICS
MEMICS
Nowadays, a lot of data are produced every second and they need to be processed immediately. Processing such unbounded streams of data is often run in a distributed environment in order to achieve high throughput. The challenge is the ability to pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edd6d2f4eaecff46c671964afda6e06b
https://doi.org/10.1007/978-3-319-29817-7_9
https://doi.org/10.1007/978-3-319-29817-7_9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319228518
DEXA (2)
Lecture Notes in Computer Science
Database and Expert Systems Applications
DEXA (2)
Lecture Notes in Computer Science
Database and Expert Systems Applications
Nowadays, a lot of data is produced every second and it needs to be processed immediately. Processing such unbounded streams of data is often applied in a distributed environment in order to achieve high throughput. There is a challenge to predict th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4ab719596084d0449975032358a19fa
https://doi.org/10.1007/978-3-319-22852-5_42
https://doi.org/10.1007/978-3-319-22852-5_42