Ieee transactions on data mining 2015 pdf
Awards. 2015 Best Paper Runner-up, International ACM Conference on Multimedia ; 2014 Best Student Paper Award (co-recipent as the mentor of the student author), IEEE International Conference on Data Mining …
IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 1, NO. 1, SEPTEMBER 2015 1 Processes Meet Big Data: Connecting Data Science with Process Science Wil van der Aalst Senior Member, IEEE, and Ernesto Damiani Senior Member, IEEE
102 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 27, NO. 1, JANUARY 2015 EMR: A Scalable Graph-based Ranking Model for Content-based Image Retrieval
IEEE TRANSACTIONS ON XXXX, VOL. XX, NO. X, APRIL 2015 1 Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra and Baocai Yin Abstract—Tensors or multiarray data are generalizations of matrices. Tensor clustering has become a very important research topic due to the intrinsically rich structures in real …
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach Jian Pei, Member, IEEE Computer Society, Jiawei Han, Senior Member, IEEE, Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal, Member, IEEE Computer Society, and Mei-Chun Hsu Abstract—Sequential pattern mining is an important data mining problem with broad applications. …
2018/2/8 IEEE Xplore: IEEE Transactions on Big Data – (Popular) Sparse Computation for Large-Scale Data Mining Dorit S. Hochbaum ; Philipp Baumann Publication Year: 2016, Page(s):151 – 174 Cited by: Papers (2) AbstractPDF (1588 KB) HTML A Survey on Geographically Distributed Big-Data Processing using MapReduce. 2018/2/8 IEEE Xplore: IEEE Transactions on Big Data – (Popular) …
IEEE Big Data Initiative is a new IEEE Future Directions initiative. Big data is much more than just data bits and bytes on one side and processing on the other. IEEE, through its Cloud Computing Initiative and multiple societies, has already been taking the lead on the technical aspects of big data.
The ComSoc Digital Library, powered by IEEE Xplore, provides online access to IEEE Communications Society periodicals and ComSoc sponsored or co-sponsored conference proceedings. As a member of the IEEE Communications Society or IEEE, you can choose between ComSocDL or ComSoc DL Plus.
IEEE Computer Special Issue on Data Mining, Vol. 32, No. 8, August 1999 Future Generation Computer Systems , Vol. 13, no. 2/3, Special Issue on Data Mining IEEE Transactions Knowledge and Data Engineering 8(6), December 1996, Special Section On Mining Of Databases.
IEEE Projects On Data Mining include text mining , image mining ,web mining. IEEE data mining projects are done by java programming language in a more efficient manner Usually, data mining projects are processed with internal and external datasets which contains lots of information
The Social Computing and Semantic Data Mining Symposium will focus on the topics related to all aspects of the intersection of social behavior, computational systems, and semantic data mining . Of special interests in social computing
IEEE Transactions on Knowledge and Data Engineering (TKDE) is an archival journal published monthly designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL XX, NO. XX, 2006 3 itemset mining framework [22], [1], [20], HARMONY directly mines …
Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems involving users, their relationships, their tweets and their interests. Design and evaluate novel approaches for handling high-volume real-time data streams. Code using primarily Java, Scala, and scripting languages such as Python or Ruby. Conduct design and code reviews. Work
IEEE TRANSACTIONS ON CYBERNETICS VOL. 45 NO. 6 JUNE
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Data Mining With Big Data – IEEE Project 2014-2015 – Free download as PDF File (.pdf), Text File (.txt) or read online for free. MICANS INFOTECH offers Projects in
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS 1 Social Security and Social Welfare Data Mining: An Overview Longbing Cao, Senior Member, IEEE Abstract—The
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 A Survey of Heterogeneous Information Network Analysis Chuan Shi, Member, IEEE, Yitong Li, Jiawei Zhang, Yizhou Sun, Member, IEEE,
IEEE BIBM 2015 provides a leading forum for disseminating the latest research in bioinformatics and health informatics. It brings together academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics and statistics.
He has served as the vice-president of the SIAM Activity Group on Data Mining, which is responsible for all data mining activities organized by SIAM, including their main data mining conference. He is a fellow of the SIAM, the ACM, and the IEEE for “contributions to knowledge discovery and data mining …
4 ieee transactions on knowledge and data engineering, to appear entropy for an attribute for two parties can be written as a sum of the expression of the form (v 1 + v 2 ) × log(v 1 + v 2 ).
ieee transactions on intelligent transportation systems, vol. 16, no. 1, march 2015 3 allow the detector to identify moving vehicles from temporal changes over a set of consecutive video frames.
Seonah Lee, Member, IEEE, Sungwon Kang, Member, IEEE, Sunghun Kim, Member, IEEE, and Matt Staats, Member, IEEE Abstract—Recommendation systems are intended to increase developer productivity by recommending files to edit.
data mining research papers 2015 IEEE PAPER. LogCluster-A Data Clustering and Pattern Mining Algorithm for Event Logs free download Abstract:Modern IT systems often produce large volumes of event logs, and event pattern discovery is an important log management task. For this purpose, data mining methods have been suggested in many previous works. In this paper, we present the …
A decision-theoretic rough set approach for dynamic data mining Hongmei Chen, Tianrui Li*, IEEE Senior Member, Chuan Luo, Shi-Jinn Horng,IEEE Member, and Guoyin Wang, IEEE …
IEEE TRANSACTIONS ON BIG DATA, VOL. XX, NO. X, MARCH 2015 2 Fig. 1. The scale of Big ML efforts in recent literature. A key goal of Petuum is to enable larger ML models to be run on fewer
IEEE TRANSACTIONS ON BIG DATA, TBD-2015-05-0037 1 Methodologies for Cross-Domain Data Fusion: An Overview Yu Zheng, Senior Member Abstract— Traditional data mining usually deals with data from a single domain.
Data mining is the computational process for discovering valuable knowledge from data. It has enormous application in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis
ACM Transactions on Knowledge Discovery from Data (TKDD) publishes original archival papers in the area of knowledge discovery from data and closely related disciplines. The majority of the papers that appear in TKDD is expected to address the logical and technical foundation of knowledge discovery and data mining.
Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad-Hoc Networks Xin-Lin Huang, Member, IEEE, Jun Wu, Senior Member, IEEE, Wenfeng Li, Zhifeng Zhang,
ieee transactions on knowledge and data engineering, vol. 28, no. 5, may 2016 1245 1041-4347 2015 IEEE. Translations and content mining are permitted for academic research only.
IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. X, NO. Y, MAY 2015 1 A Workflow Management System for Scalable Data Mining on Clouds …
Course website for STAT 365/665: Data Mining and Machine Learning
IEEE Transactions on Big Data publishes peer-reviewed articles with big data as the main focus. The articles provide cross-disciplinary innovative research ideas and applications results for big data, including novel theory, algorithms, and applications. Visit to learn more about IEEE Transactions on Big Data.
PDF On , Aleksandar Lazarevic and others published Data Mining for Anomaly Detection We use cookies to make interactions with our website easy and meaningful, to better understand the use of …
Statistical Relational Learning for Document Mining , Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock , In Proceedings of IEEE International Conference on Data Mining …
2 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, TO APPEAR TopCat: Data Mining for Topic Identification in a Text Corpus Chris Clifton, Senior Member, IEEE, Robert Cooley, Member, IEEE, and Jason Rennie
By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels.
4 IEEE Big Data 2015 Program Schedule Santa Clara, CA, USA October 29—November 1, 2015 Keynote Lecture: 60 minutes (about 45 minutes for talk and 15 minutes for Q and A)
Scalable parallel data mining for association rules
IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications.
Data Mining with Big Data Xindong Wu, Fellow, IEEE, Xingquan Zhu, Senior Member, IEEE, Gong-Qing Wu, and Wei Ding,Senior Member, IEEE Abstract—Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources.
10.1109/TKDE.2016.2551240, IEEE Transactions on Knowledge and Data Engineering IEEE TRANSACTIONS ON KNOWLEDGE AND DATA MINING, MANUSCRIPT ID 1 Set Matching Measures for . External Cluster Validity. Mohammad Rezaei, Pasi Fr. ä. nti, Senior Member, IEEE Abstract— Comparing two clustering results of a data set is a challenging task in cluster analysis. Many …
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, VOL. 15, NO. 1, FEBRUARY 2002 91 Data Mining for Improving a Cleaning Process in the Semiconductor Industry
4 ieee transactions on neural networks, vol. 13, no. 1, january 2002 Data mining is a form of knowledge discovery essential for solving problems in a specific domain.
Guozhu Dong, Senior Member, IEEE, Jiawei Han, Senior Member, IEEE, Joyce M.W. Lam, Jian Pei, Member, IEEE Computer Society, Ke Wang, and Wei Zou Abstract—Many data analysis tasks can be viewed as search or mining in a multidimensional space (MDS).
644 IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, VOL. 16, NO. 4, NOVEMBER 2003 On the Use of Decision Tree Induction for Discovery of Interactions in a Photolithographic …
IEEE TRANSACTIONS ON CYBERNETICS, VOL. 45, NO. 6, JUNE 2015 1113 New Techniques for Mining Frequent Patterns in Unordered Trees Sen Zhang, Member, IEEE, Zhihui Du, Member, IEEE, and Jason T. L. Wang, Member, IEEE Abstract—We consider a new tree mining problem that aims to discover restrictedly embedded subtree patterns from a set of rooted labeled unordered trees. We …
ieee transactions on knowledge and data engineering, vol. 12, no. 3, may/june 2000 337 The authors are with the Army HPC Research Center and the Department of Computer Science and Engineering, University of Minnesota,
A data mining algorithm for generalized web prefetching
DATA MINING Distributed Data Mining in Credit Card Fraud Detection Philip K. Chan, Florida Institute of Technology Wei Fan, Andreas L. Prodromidis, and Salvatore J. Stolfo, Columbia University C REDIT CARD TRANSACTIONS CON-tinueto grow in number,taking an ever-larger share of the US payment system and leading to a higher rate of stolen account numbers and subsequent losses by banks. …
Areas of Research. I lead the Database Group at the Research School of Computer Science, ANU. My research broadly lies in the areas of databases, data mining, data modelling and knowledge reasoning.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Mining Partially-Ordered Sequential Rules Common to Multiple Sequences Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao and Roger Nkambou
ICDMML 2019 【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning SSCI 2019 The 2019 IEEE Symposium Series on Computational Intelligence ACM–ICIAI–Ei Compendex and Scopus 2019 ACM–2019 The 3rd International Conference on Innovation in Artificial Intelligence (ICIAI 2019)–Ei Compendex and Scopus
Journals, Magazines in Analytics, Big Data, Data Mining, and Knowledge Discovery ACM Transactions on Knowledge Discovery in Data (TKDD). SIGKDD Explorations , a magazine of the SIGKDD , the data miners professional group.
ieee transactions on big data, vol. 1, no. 1, january-march 2015 3 of submission will require that authors upload original large-scale data sets together with the meta data and a companion article to describe the meaning of attributes and intended usage of data in verifying systems and algorithms.
1 Data Mining with Big Data Xindong Wu1,2, Xingquan Zhu3, Gong-Qing Wu2, Wei Ding4 1 School of Computer Science and Information Engineering, Hefei University of Technology, China
Technical papers on Data Mining Web Mining KDnuggets
Mining Uncertain Sequential Patterns in Iterative
ieee transactions on knowledge and data engineering, vol. 15, no. 5, september/october 2003 1155 The authors are with the Department of Informatics, Artistotle University, Thessaloniki, 54124 Greece.
Ieee Research Papers Data Mining Pdf IEEE BigDataService 2017, The Third IEEE International Big Data computing and service is becoming a very sought after research and application subject in academic research , industry, and government services.
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective Xingquan Zhu, Member, IEEE, Xindong Wu, Senior Member, IEEE, Ahmed K. Elmagarmid,
IEEE Transactions on Intelligent Transportation Systems, 2016 2015 . 3D-PatchMach: an Optimization Algorithm for Point Cloud Completion Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM2015) 2012. Automatic road extraction from mobile laser scanning data Hanyun Wang, Zhipeng Cai…
Abstract. This paper proposes a sequential pattern mining (SPM) algorithm in large scale uncertain databases. Uncertain sequence databases are widely used to model inaccurate or imprecise timestamped data in many real applications, where traditional SPM algorithms are inapplicable because of data uncertainty and scalability.
Novel Techniques in Big Data Analytics for Management
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IEEE Transactions on Software Engineering The Impact of
102 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA
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Zhipeng Cai
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, VOL. 15, NO. 1, FEBRUARY 2002 91 Data Mining for Improving a Cleaning Process in the Semiconductor Industry
Data mining is the computational process for discovering valuable knowledge from data. It has enormous application in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis
102 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 27, NO. 1, JANUARY 2015 EMR: A Scalable Graph-based Ranking Model for Content-based Image Retrieval
IEEE TRANSACTIONS ON XXXX, VOL. XX, NO. X, APRIL 2015 1 Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra and Baocai Yin Abstract—Tensors or multiarray data are generalizations of matrices. Tensor clustering has become a very important research topic due to the intrinsically rich structures in real …
IEEE TRANSACTIONS ON BIG DATA, VOL. XX, NO. X, MARCH 2015 2 Fig. 1. The scale of Big ML efforts in recent literature. A key goal of Petuum is to enable larger ML models to be run on fewer
He has served as the vice-president of the SIAM Activity Group on Data Mining, which is responsible for all data mining activities organized by SIAM, including their main data mining conference. He is a fellow of the SIAM, the ACM, and the IEEE for “contributions to knowledge discovery and data mining …
IEEE Transactions on Software Engineering The Impact of
102 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA
Areas of Research. I lead the Database Group at the Research School of Computer Science, ANU. My research broadly lies in the areas of databases, data mining, data modelling and knowledge reasoning.
2018/2/8 IEEE Xplore: IEEE Transactions on Big Data – (Popular) Sparse Computation for Large-Scale Data Mining Dorit S. Hochbaum ; Philipp Baumann Publication Year: 2016, Page(s):151 – 174 Cited by: Papers (2) AbstractPDF (1588 KB) HTML A Survey on Geographically Distributed Big-Data Processing using MapReduce. 2018/2/8 IEEE Xplore: IEEE Transactions on Big Data – (Popular) …
Course website for STAT 365/665: Data Mining and Machine Learning
1 Data Mining with Big Data Xindong Wu1,2, Xingquan Zhu3, Gong-Qing Wu2, Wei Ding4 1 School of Computer Science and Information Engineering, Hefei University of Technology, China
ieee transactions on knowledge and data engineering, vol. 12, no. 3, may/june 2000 337 The authors are with the Army HPC Research Center and the Department of Computer Science and Engineering, University of Minnesota,
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA arXiv
Data Mining with Big Data IEEE projects in Coimbatore
Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems involving users, their relationships, their tweets and their interests. Design and evaluate novel approaches for handling high-volume real-time data streams. Code using primarily Java, Scala, and scripting languages such as Python or Ruby. Conduct design and code reviews. Work
Statistical Relational Learning for Document Mining , Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock , In Proceedings of IEEE International Conference on Data Mining …
The ComSoc Digital Library, powered by IEEE Xplore, provides online access to IEEE Communications Society periodicals and ComSoc sponsored or co-sponsored conference proceedings. As a member of the IEEE Communications Society or IEEE, you can choose between ComSocDL or ComSoc DL Plus.
IEEE TRANSACTIONS ON BIG DATA, VOL. XX, NO. X, MARCH 2015 2 Fig. 1. The scale of Big ML efforts in recent literature. A key goal of Petuum is to enable larger ML models to be run on fewer
Abstract. This paper proposes a sequential pattern mining (SPM) algorithm in large scale uncertain databases. Uncertain sequence databases are widely used to model inaccurate or imprecise timestamped data in many real applications, where traditional SPM algorithms are inapplicable because of data uncertainty and scalability.
IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. X, NO. Y, MAY 2015 1 A Workflow Management System for Scalable Data Mining on Clouds …
Novel Techniques in Big Data Analytics for Management
ACM Transactions on Knowledge Discovery from Data
IEEE TRANSACTIONS ON BIG DATA, VOL. XX, NO. X, MARCH 2015 2 Fig. 1. The scale of Big ML efforts in recent literature. A key goal of Petuum is to enable larger ML models to be run on fewer
IEEE Transactions on Big Data publishes peer-reviewed articles with big data as the main focus. The articles provide cross-disciplinary innovative research ideas and applications results for big data, including novel theory, algorithms, and applications. Visit to learn more about IEEE Transactions on Big Data.
By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels.
A decision-theoretic rough set approach for dynamic data mining Hongmei Chen, Tianrui Li*, IEEE Senior Member, Chuan Luo, Shi-Jinn Horng,IEEE Member, and Guoyin Wang, IEEE …
IEEE Big Data Initiative is a new IEEE Future Directions initiative. Big data is much more than just data bits and bytes on one side and processing on the other. IEEE, through its Cloud Computing Initiative and multiple societies, has already been taking the lead on the technical aspects of big data.
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective Xingquan Zhu, Member, IEEE, Xindong Wu, Senior Member, IEEE, Ahmed K. Elmagarmid,
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL XX, NO. XX, 2006 3 itemset mining framework [22], [1], [20], HARMONY directly mines …
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach Jian Pei, Member, IEEE Computer Society, Jiawei Han, Senior Member, IEEE, Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal, Member, IEEE Computer Society, and Mei-Chun Hsu Abstract—Sequential pattern mining is an important data mining problem with broad applications. …
IEEE Transactions on Intelligent Transportation Systems, 2016 2015 . 3D-PatchMach: an Optimization Algorithm for Point Cloud Completion Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM2015) 2012. Automatic road extraction from mobile laser scanning data Hanyun Wang, Zhipeng Cai…
4 IEEE Big Data 2015 Program Schedule Santa Clara, CA, USA October 29—November 1, 2015 Keynote Lecture: 60 minutes (about 45 minutes for talk and 15 minutes for Q and A)
IEEE TRANSACTIONS ON CYBERNETICS, VOL. 45, NO. 6, JUNE 2015 1113 New Techniques for Mining Frequent Patterns in Unordered Trees Sen Zhang, Member, IEEE, Zhihui Du, Member, IEEE, and Jason T. L. Wang, Member, IEEE Abstract—We consider a new tree mining problem that aims to discover restrictedly embedded subtree patterns from a set of rooted labeled unordered trees. We …
4 ieee transactions on neural networks, vol. 13, no. 1, january 2002 Data mining is a form of knowledge discovery essential for solving problems in a specific domain.
Data Mining With Big Data – IEEE Project 2014-2015 – Free download as PDF File (.pdf), Text File (.txt) or read online for free. MICANS INFOTECH offers Projects in