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Search: subject:"document clustering"
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document clustering
10
Cluster analysis
7
Clusteranalyse
7
Regional cluster
7
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7
Algorithm
5
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5
Data Mining
4
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4
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4
text mining
4
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3
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3
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2
D3
2
Document Clustering
2
Document clustering
2
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2
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2
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2
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2
MapReduce
2
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2
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QuantNet
2
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2
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semantic web
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Borke, Lukas
2
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2
Kanmani, Selvadurai
2
Akter, Ruksana
1
Al-Mofareji, Hanan
1
Bendjeghaba, Omar
1
CHEN, ZHENGXIN
1
Chung, Yoojin
1
Dahab, Mohamed Y.
1
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1
Goussard, Yves
1
Härdle, Wolfgang
1
Härdle, Wolfgang Karl
1
Idczak, Adam
1
Ishak-Boushaki, Saida
1
Jayakumari, J.
1
Judith, J. E.
1
KOU, GANG
1
Kamel, Mahmoud
1
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1
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1
Kostoff, Ronald N.
1
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1
Qin, Jialun
1
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1
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1
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1
Shah, Sahil K.
1
Slaoui, Said Chah
1
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1
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1
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Journal of information & knowledge management : JIKM
3
Decision Analytics
2
International journal of enterprise network management
2
CIRRELT
1
Information systems research : ISR
1
International Journal of Cloud Applications and Computing (IJCAC)
1
International Journal of Information Retrieval Research (IJIRR)
1
International Journal of Information Technology & Decision Making (IJITDM)
1
Journal of Information & Knowledge Management (JIKM)
1
Paradigm : the journal of Institute of Management Technology
1
SFB 649 Discussion Paper
1
SFB 649 discussion paper
1
Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland
1
Technological forecasting & social change : an international journal
1
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ECONIS (ZBW)
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2
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1
Language independent algorithm for clustering text documents with respect to their sentiment
Korzeniewski, Jerzy
;
Idczak, Adam
- In:
Statistics in transition : an international journal of …
25
(
2024
)
3
,
pp. 175-185
Determining the sentiment of a written text is an important task in text research. This task can be performed either in the supervised or unsupervised version. In this paper, we propose a novel unsupervised algorithm for documents written in any language using documents written in Polish as an...
Persistent link: https://www.econbiz.de/10015127239
Saved in:
2
Lookup table string similarity algorithm
Mehri, Banafsheh
;
Goussard, Yves
;
Trépanier, Martin
-
2023
Persistent link: https://www.econbiz.de/10013538999
Saved in:
3
Q3-D3-LSA
Borke, Lukas
;
Härdle, Wolfgang Karl
-
2016
similarity-based
document
clustering
and knowledge discovery. In particular, different LSA configurations together with …
Persistent link: https://www.econbiz.de/10011580448
Saved in:
4
Q3-D3-LSA
Borke, Lukas
;
Härdle, Wolfgang
-
2016
similarity-based
document
clustering
and knowledge discovery. In particular, different LSA configurations together with …
Persistent link: https://www.econbiz.de/10011572047
Saved in:
5
Chicken swarm optimisation based clustering of biomedical documents and health records to improve telemedicine applications
Sandhiya, R.
;
Sundarambal, M.
- In:
International journal of enterprise network management
10
(
2019
)
3/4
,
pp. 305-328
Persistent link: https://www.econbiz.de/10012155302
Saved in:
6
Event based sentiment analysis on futures trading
Yadav, Ritu
;
Kumar, Ashwani
;
Kumar, A. Vinay
- In:
The journal of prediction markets
13
(
2019
)
1
,
pp. 57-80
Persistent link: https://www.econbiz.de/10012607594
Saved in:
7
Correlated concept based dynamic
document
clustering
algorithms for newsgroups and scientific literature
Jayabharathy, Jayaraj
;
Kanmani, Selvadurai
- In:
Decision Analytics
1
(
2014
)
1
,
pp. 1-21
clusters, scalability of the system still remains complicated. In this paper, three dynamic
document
clustering
algorithms …, namely: Term frequency based MAximum Resemblance
Document
Clustering
(TMARDC), Correlated Concept based MAximum Resemblance …
Document
Clustering
(CCMARDC) and Correlated Concept based Fast Incremental Clustering Algorithm (CCFICA) are proposed. From …
Persistent link: https://www.econbiz.de/10011656505
Saved in:
8
Correlated concept based dynamic
document
clustering
algorithms for newsgroups and scientific literature
Jayabharathy, Jayaraj
;
Kanmani, Selvadurai
- In:
Decision Analytics
1
(
2014
),
pp. 1-21
clusters, scalability of the system still remains complicated. In this paper, three dynamic
document
clustering
algorithms …, namely: Term frequency based MAximum Resemblance
Document
Clustering
(TMARDC), Correlated Concept based MAximum Resemblance …
Document
Clustering
(CCMARDC) and Correlated Concept based Fast Incremental Clustering Algorithm (CCFICA) are proposed. From …
Persistent link: https://www.econbiz.de/10010338776
Saved in:
9
An Improved Genetic Algorithm for
Document
Clustering
on the Cloud
Akter, Ruksana
;
Chung, Yoojin
- In:
International Journal of Cloud Applications and …
8
(
2018
)
4
,
pp. 20-28
This article presents a modified genetic algorithm for text
document
clustering
on the cloud. Traditional approaches of … genetic algorithms in
document
clustering
represents chromosomes based on cluster centroids, and does not divide cluster …
Persistent link: https://www.econbiz.de/10012043406
Saved in:
10
High-dimensional text datasets clustering algorithm based on cuckoo search and latent semantic indexing
Ishak-Boushaki, Saida
;
Kamel, Nadjet
;
Bendjeghaba, Omar
- In:
Journal of information & knowledge management : JIKM
17
(
2018
)
3
,
pp. 1850033-1-24
Persistent link: https://www.econbiz.de/10011932405
Saved in:
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