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GrC 2015: International Conference on Granular Computing

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GrC
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投稿締切日:
2015-08-25 Extended
通知日:
2015-09-04
開催日:
2015-10-29
開催地:
Silicon Valley, California, USA
開催回数:
7
閲覧: 30068   フォロー: 0   参加: 0

会伴インデックス (CP-I)

43.3 / 100
全 5,680 件中 第 3,591 位 · 上位 64%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入
開催回数 (20%)
56
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
25

使用した入力: 確認できる開催回数:7 · 過去 24 か月にこのページを開いた研究者:2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-12

論文募集

GrC 2015 (International Conference on Granular Computing) is an academic conference held in Silicon Valley, California, USA on 2015-10-29. The paper submission deadline is 2015-08-25 (extended). Acceptance notifications are sent on 2015-09-04.

Introduction Granular Computing (GrC) is a general computation theory for effectively using granules such as subsets, neighborhoods, turples(ordered subsets), relations(subsets of Caresian products), fuzzy sets(membership functions), variables (measurable functions), Turing machines(algorithms),and intervals to build an efficient computational model for complex with huge amounts of data, information and knowledge. (See Granular Computing Informastion Center). Though the label is relatively recent, the basic notions and principles are quite common, even ancient. For example, granulations of daily objects,such as human body, are ancient practices. The infinitesimal that led to invention of Calculus, are the ancient intuition on the granulatiion of space and time. Heisenburg uncertainty (a neighborhood of possible locations)intergral part of modern physics (quantum mechanics). Information hiding in programming, divide and conquer in algoritnm development are common practices of granular computing in computer science. Fuzzy and rough set theories, neutrosophic computing, quotient space, belief functions, machine learning, databases, data mining, cluster analysis, interval computing, more recently social computing, computing all involve granular computing. Highlights The highlight of this conference is that the conference will be held in Silicon Valley, California. Many high-tech companies, such as IBM, Google, and Yahoo etc and several distinguished universities (Stanford,UC Berkely and etc) are just around the corner. Some interactins may be organized. The area now known as Silicon Valley has been a center of technological development since the 1950's. The name Silicon Valley from the early 1970's, when the area had become the center for many semiconductor companies. While still hosting semiconductor and microprocessor companies, the region now hosts the headquarters of tech companies of every kind, including many of the best known and most prestigious names in personal computers, Web search, Internet auctions, networking, storage, databases, etc. Topics of Interest The topics and areas include, but are not limited to: Computational Intelligence Neural Networks, Fuzzy Systems, Evolutionary Computation, Rough Sets, etc. Foundation of Data Mining and Learning Theory Probabilistic/Statistical Learning, Machine Learning, Kernel Machines, etc. Foundation of Clouding computing and Social Computing Applications to Bioinformatics, Medical Informatics and Chemical Informatics e-Intelligence, Web Intelligence, Web Informatics, Web Mining and Semantic Web
最終更新:Dou Sun

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