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DMIN 2015: International Conference on Data Mining

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DMIN
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투고 마감일:
2015-04-15 Extended
통보일:
2015-04-30
개최일:
2015-07-27
개최지:
Las Vegas, Nevada, USA
개최 횟수:
11
조회: 27681   팔로우: 1   참가: 0

회반 지수 (CP-I)

46.1 / 100
전체 5,681개 중 2,463위 · 상위 44%

데이터 마이닝·데이터베이스 분야 337개 중 143위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
67
커뮤니티 관심도 (10%)
15
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 11 · 회반에서 팔로우 중인 연구자: 1명 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-13

논문 모집

DMIN 2015 (International Conference on Data Mining) is an academic conference held in Las Vegas, Nevada, USA on 2015-07-27. The paper submission deadline is 2015-04-15 (extended). Acceptance notifications are sent on 2015-04-30.

You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (ISBN) and will also be made available online. Like prior years, extended versions of selected papers will appear in journals and edited research books (publishers include: Springer, Elsevier, BMC, and others). In addition to the above, we have arranged two new book series; one with Elsevier publishers (Emerging Trends in Computer Science and Applied Computing) and another with Springer publishers (Transactions of Computational Science and Computational Intelligence). After the conference, a significant number of authors of accepted papers of our congress, will be given the opportunity to submit the extended version of their papers for publication consideration in these books. Each book in each series will be subject to Elsevier and Springer science indexing products (which includes: Scopus, Ei village, SCI, ...). To get a feeling about the conference's atmosphere, see some delegates photos available at: http://worldcomp.phanfare.com/ http://infinitydempsey.smugmug.com/WorldComp DMIN'15 is composed of a number of tracks, including: tutorials, sessions, workshops, posters, and panel discussions. The conference will be held July 27-30, 2015, Las Vegas, USA. SCOPE: Submitted papers should be related to Data Mining, Data Science, Machine Learning and similar topics. Topics of interest include, but are not limited to, the following: Data Mining/Machine Learning Tasks Regression/Classification Time series forecasting Segmentation/Clustering/Association Deviation and outlier detection Explorative and visual data mining Web mining Mining text and semi-structured data Temporal and spatial data mining Multimedia mining (audio/video) Mining "big data" Others Data Mining Algorithms Artificial neural networks Fuzzy logic and rough sets Decision trees/rule learners Support vector machines Evolutionary computation/meta heuristics Statistical methods Collaborative filtering Case based reasoning Link and sequence analysis Ensembles/committee approaches Others Data Mining Integration Mining large scale data/big data Distributed and grid based data mining Data and knowledge representation Data warehousing and OLAP integration Integration of prior/domain knowledge Metadata and ontologies Agent technologies for data mining Legal and social aspects of data mining Data Mining Process Data cleaning and preparation Feature selection and transformation Attribute discretisation and encoding Sampling and rebalancing Missing value imputation Model selection/assessment and comparison Induction principles Model interpretation Others Data Mining Applications Bioinformatics Medicine Data Mining Business/Corporate/Industrial Data Mining Credit Scoring Direct Marketing Database Marketing Engineering Mining Military Data Mining Security Data Mining Social Science Mining Data Mining in Logistics Others We particularly encourage submissions of industrial applications and case studies from practitioners. These will not be evaluated using solely theoretical research criteria, but will take general interest and presentation into consideration. Data Mining Software All aspects and modules Alternative and additional examples of possible topics include: Data Mining for Business Intelligence Emerging technologies in data mining Big Data Computational performance issues in data mining Data mining in usability Advanced prediction modelling using data mining Data mining and national security Data mining tools Data analysis Data preparation techniques (selection, transformation, and preprocessing) Information extraction methodologies Clustering algorithms used in data mining Genetic algorithms and categorization techniques used in data mining Data and information integration Microarray design and analysis Privacy-preserving data mining Active data mining Statistical methods used in data mining Multidimensional data Case studies and prototypes Automatic data cleaning Data visualization Theory and practice - knowledge representation and discovery Knowledge Discovery in Databases (KDD) Uncertainty management Data reduction methods Data engineering Content mining Indexing schemes Information retrieval Metadata use and management Multidimensional query languages and query optimization Multimedia information systems Search engine query processing Pattern mining Applications (examples: data mining in education, marketing, finance and financial services, business applications, medicine, bioinformatics, biological sciences, science and technology, industry and government, ...)
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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