A distributed, proactive intelligent scheme for securing quality in large scale data processing
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[1] Joshua Zhexue Huang,et al. Random Sample Partition: A Distributed Data Model for Big Data Analysis , 2017, IEEE Transactions on Industrial Informatics.
[2] Hong Linh Truong,et al. Analytics of Performance and Data Quality for Mobile Edge Cloud Applications , 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).
[3] Zirije Hasani,et al. Robust anomaly detection algorithms for real-time big data: Comparison of algorithms , 2017, 2017 6th Mediterranean Conference on Embedded Computing (MECO).
[4] Jahanpour Alipour,et al. Dimensions and assessment methods of data quality in health information systems , 2017 .
[5] Steven Van den Berghe,et al. Data Quality Assessment and Improvement: A Vrije Universiteit Brussel Case Study , 2017, CRIS.
[6] Mario Piattini,et al. A Data Quality in Use model for Big Data , 2016, Future Gener. Comput. Syst..
[7] Saraswati Mishra,et al. An Efficient Method of Partitioning High Volumes of Multidimensional Data for Parallel Clustering Algorithms , 2016, ArXiv.
[8] Jie Zhang,et al. A Distributed and Scalable Machine Learning Approach for Big Data , 2016, IJCAI.
[9] Weisong Shi,et al. Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.
[10] Jerry Zeyu Gao,et al. Big Data Validation and Quality Assurance -- Issuses, Challenges, and Needs , 2016, 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE).
[11] Vijay V. Raghavan,et al. Data quality issues in big data , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[12] Pekka Pääkkönen,et al. Evaluating the Quality of Social Media Data in Big Data Architecture , 2015, IEEE Access.
[13] Samani A. Talab,et al. Enhanced Extraction Clinical Data Technique to Improve Data Quality in Clinical Data Warehouse , 2015 .
[14] Yangyong Zhu,et al. The Challenges of Data Quality and Data Quality Assessment in the Big Data Era , 2015, Data Sci. J..
[15] Justyna Majewska,et al. Identification of multivariate outliers – problems and challenges of visualization methods , 2015 .
[16] Le Hoang Son. DPFCM: A novel distributed picture fuzzy clustering method on picture fuzzy sets , 2015, Expert Syst. Appl..
[17] Carlo Batini,et al. From Data Quality to Big Data Quality , 2015, J. Database Manag..
[18] Dipak Kalra,et al. Data quality in European primary care research databases. Report of a workshop held in London September 2013 , 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
[19] F. Urbano,et al. Data Quality: Detection and Management of Outliers , 2014 .
[20] Roger Clarke,et al. Big Data's Big Unintended Consequences , 2013, Computer.
[21] Christian Wagner,et al. Juzzy - A Java based toolkit for Type-2 Fuzzy Logic , 2013, 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ).
[22] T. K. Das,et al. BIG Data Analytics: A Framework for Unstructured Data Analysis , 2013 .
[23] P. Mikkelsen,et al. Data quality assurance in monitoring of wastewater quality: Univariate on-line and off-line methods , 2013 .
[24] Dongrui Wu,et al. On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers , 2012, IEEE Transactions on Fuzzy Systems.
[25] Hamidah Ibrahim,et al. Data quality: A survey of data quality dimensions , 2012, 2012 International Conference on Information Retrieval & Knowledge Management.
[26] Jian Pei,et al. 2012- Data Mining. Concepts and Techniques, 3rd Edition.pdf , 2012 .
[27] Jyotirmoy Karjee,et al. Data Accuracy Model for Distributed Clustering Algorithm based on Spatial Data Correlation in Wireless Sensor Networks , 2011, ArXiv.
[28] David Loshin,et al. Data Quality Maturity , 2011 .
[29] Stathes Hadjiefthymiades,et al. Buyer agent decision process based on automatic fuzzy rules generation methods , 2010, International Conference on Fuzzy Systems.
[30] Georgios B. Giannakis,et al. Consensus-Based Distributed Support Vector Machines , 2010, J. Mach. Learn. Res..
[31] Chuong B Do,et al. What is the expectation maximization algorithm? , 2008, Nature Biotechnology.
[32] Edward Y. Chang,et al. Parallelizing Support Vector Machines on Distributed Computers , 2007, NIPS.
[33] Shuai Ma,et al. Improving Data Quality: Consistency and Accuracy , 2007, VLDB.
[34] Jerry Mendel,et al. Type-2 Fuzzy Sets and Systems: An Overview [corrected reprint] , 2007, IEEE Computational Intelligence Magazine.
[35] Jerry M. Mendel,et al. Type-2 fuzzy sets and systems: an overview , 2007, IEEE Computational Intelligence Magazine.
[36] Barbara Wixom,et al. Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..
[37] Edgar Acuña,et al. An empirical study of the effect of outliers on the misclassification error rate , 2005 .
[38] Richard Y. Wang,et al. Data quality assessment , 2002, CACM.
[39] Michalis Vazirgiannis,et al. Clustering validity assessment: finding the optimal partitioning of a data set , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[40] Philip S. Yu. IEEE Transactions on Knowledge and Data Engineering: EIC Editorial , 2001 .
[41] J. Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .
[42] Mark Last. Automated Detection of Outliers in Real-World Data , 2001 .
[43] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[44] Ahmed K. Elmagarmid,et al. Enterprise Data Quality: A Pragmatic Approach , 1999, Inf. Syst. Frontiers.
[45] Domenico Saccà,et al. Database partitioning in a cluster of processors , 1983, TODS.
[46] Shamkant B. Navathe,et al. Vertical partitioning algorithms for database design , 1984, TODS.
[47] E. S. Page. CONTINUOUS INSPECTION SCHEMES , 1954 .