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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Bees swarm optimization guided by data mining techniques for document information retrieval
ترجمه فارسی عنوان مقاله:
بهینه سازی پرورش زنبورها با استفاده از تکنیک های داده کاوی برای بازیابی سند اطلاعات
منبع:
Sciencedirect - Elsevier - Expert Systems With Applications, 94 (2018) 126-136: doi:10:1016/j:eswa:2017:10:042
نویسنده:
Youcef Djenouri a,∗, Asma Belhadi b, Riadh Belkebir c
چکیده انگلیسی:
This paper explores advances in the data mining field to solve the fundamental Document Information
Retrieval problem. In the proposed approach, useful knowledge is first discovered by using data mining
techniques, then swarms use this knowledge to explore the whole space of documents intelligently. We
have investigated two data mining techniques in the preprocessing step. The first one aims to split the
collection of documents into similar clusters by using the K-means algorithm, while the second one ex
tracts the most closed frequent terms on each cluster already created using the DCI_Closed algorithm.
For the solving step, BSO (Bees Swarm Optimization) is used to explore the cluster of documents deeply.
The proposed approach has been evaluated on well-known collections such as CACM (Collection of ACM),
TREC (Text REtrieval Conference), Webdocs, and Wikilinks, and it has been compared to state-of-the-art
data mining, bio-inspired and other documents information retrieval based approaches. The results show
that the proposed approach improves the quality of returned documents considerably, with a competitive
computational time compared to state-of-the-art approaches.
Keywords: Information retrieval ، Data mining ، Big data ، BSO algorithm ، Bio-inspired methods
قیمت: رایگان
توضیحات اضافی:
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