会议信息

MAW 2015: International Symposium on Mining and Web

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MAW
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截稿日期:
2014-10-31
通知日期:
2014-12-15
会议日期:
2015-03-24
会议地点:
Gwangju, Korea
届数:
8
浏览: 16949   关注: 0   参加: 1

会伴指数 (CP-I)

43.9 / 100
全站第 3,308 名 / 共 5,693 个会议 · 前 59%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：8 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-03

征稿

MAW 2015 (International Symposium on Mining and Web) is an academic conference held in Gwangju, Korea on 2015-03-24. The paper submission deadline is 2014-10-31. Acceptance notifications are sent on 2014-12-15.

As the Web has become a major source of information, techniques and methodologies to extract quality information is of paramount importance for many Web applications and users. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Following the success of MAW08 in Okinawa Japan, MAW09 in Bradford UK, MAW10 in Perth Australia, MAW11 in Singapore, MAW12 in Fukuoka Japan, MAW13 in Barcelona Spain, and MAW14 in Victoria Canada, the 8th MAW aims to bring together scientists, engineers, and practitioners to discuss, exchange ideas, and present their research on mining the Web. Topics of interest that MAW15 covers include general mining techniques and methodologies, as well as their application to the Web (but are not limited to): Text, Data, and Media Mining Natural Language Processing Information Retrieval and Knowledge Discovery Ubiquitous and Portable Web Mining Social Networks and On-Line Communities Information Categorisation, Clustering, and Fusion Web Search, Ranking and Optimisation Collaborative Filtering, Personalisation and Recommender Systems Semantic Web and Ontology Cyber Security, Privacy, and Trust e-Technology, e-Government, and e-Learning Wikis and Blogs Mining Web and Business Intelligence Web Evolution and Analytics Accepted papers will be published by the IEEE Conference Publishing Services (CPS) and archived in the Digital Library. Extended version of selected papers will be considered for publication in several journals.
由 Dou Sun 最后更新于

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