Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark
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Sergio Ramírez-Gallego | Bartosz Krawczyk | José Manuel Benítez | Michał Woźniak | Francisco Herrera | Salvador García | J. M. Benítez | S. García | F. Herrera | S. Ramírez-Gallego | B. Krawczyk | M. Woźniak
[1] Ting Liu,et al. Clustering Billions of Images with Large Scale Nearest Neighbor Search , 2007, 2007 IEEE Workshop on Applications of Computer Vision (WACV '07).
[2] Charu C. Aggarwal,et al. Data Mining: The Textbook , 2015 .
[3] Xindong Wu,et al. The Top Ten Algorithms in Data Mining , 2009 .
[4] Eric Gossett,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .
[5] Hongjie Jia,et al. Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors , 2015, Cognitive Computation.
[6] Geoff Holmes,et al. Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data , 2012, IDA.
[7] Geoff Hulten,et al. A General Framework for Mining Massive Data Streams , 2003 .
[8] Walid G. Aref,et al. Precision-Bounded Access Control Using Sliding-Window Query Views for Privacy-Preserving Data Streams , 2015, IEEE Transactions on Knowledge and Data Engineering.
[9] Francisco Herrera,et al. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data , 2017, Knowl. Based Syst..
[10] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[11] Kenneth J. Supowit,et al. The Relative Neighborhood Graph, with an Application to Minimum Spanning Trees , 1983, JACM.
[12] Francisco Herrera,et al. Data Preprocessing in Data Mining , 2014, Intelligent Systems Reference Library.
[13] Bartosz Krawczyk,et al. Learning from imbalanced data: open challenges and future directions , 2016, Progress in Artificial Intelligence.
[14] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[15] Albert Bifet,et al. Efficient Online Evaluation of Big Data Stream Classifiers , 2015, KDD.
[16] María José del Jesús,et al. Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks , 2014, WIREs Data Mining Knowl. Discov..
[17] Ameet Talwalkar,et al. MLlib: Machine Learning in Apache Spark , 2015, J. Mach. Learn. Res..
[18] Michal Wozniak,et al. A hybrid decision tree training method using data streams , 2011, Knowledge and Information Systems.
[19] Filiberto Pla,et al. Prototype selection for the nearest neighbour rule through proximity graphs , 1997, Pattern Recognit. Lett..
[20] João Gama,et al. Very fast decision rules for classification in data streams , 2013, Data Mining and Knowledge Discovery.
[21] Ramasamy Uthurusamy,et al. Evolving data into mining solutions for insights , 2002, CACM.
[22] Haibo He,et al. Incremental Learning From Stream Data , 2011, IEEE Transactions on Neural Networks.
[23] Marcos Dias de Assunção,et al. Apache Spark , 2019, Encyclopedia of Big Data Technologies.
[24] Viktor Mayer-Schnberger,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .
[25] Mukesh Prasad,et al. Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[26] Hongjie Jia,et al. Study on density peaks clustering based on k-nearest neighbors and principal component analysis , 2016, Knowl. Based Syst..
[27] Andrew W. Moore,et al. An Investigation of Practical Approximate Nearest Neighbor Algorithms , 2004, NIPS.
[28] Lei Du,et al. Detecting concept drift: An information entropy based method using an adaptive sliding window , 2014, Intell. Data Anal..
[29] Geoff Hulten,et al. Mining time-changing data streams , 2001, KDD '01.
[30] Mohamed Medhat Gaber,et al. Advances in data stream mining , 2012, WIREs Data Mining Knowl. Discov..
[31] Albert Bifet,et al. DATA STREAM MINING A Practical Approach , 2009 .
[32] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[33] Matthew O. Ward,et al. Mining neighbor-based patterns in data streams , 2013, Inf. Syst..
[34] Jifu Zhang,et al. FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[35] João Gama,et al. A survey on concept drift adaptation , 2014, ACM Comput. Surv..
[36] Walid G. Aref,et al. Tornado: A Distributed Spatio-Textual Stream Processing System , 2015, Proc. VLDB Endow..
[37] João Gama,et al. Ensemble learning for data stream analysis: A survey , 2017, Inf. Fusion.
[38] Christophe G. Giraud-Carrier,et al. Efficient mining of high-speed uncertain data streams , 2015, Applied Intelligence.
[39] Patrick Wendell,et al. Learning Spark: Lightning-Fast Big Data Analytics , 2015 .
[40] Ludmila I. Kuncheva,et al. Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[41] Xindong Wu,et al. Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.
[42] Jesús S. Aguilar-Ruiz,et al. Knowledge discovery from data streams , 2009, Intell. Data Anal..
[43] Francisco Herrera,et al. A survey on data preprocessing for data stream mining: Current status and future directions , 2017, Neurocomputing.
[44] Adir Even,et al. Data Stream Mining with Multiple sliding Windows for continuous Prediction , 2014, ECIS.
[45] Jimmy J. Lin. MapReduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail! , 2012, Big Data.
[46] Derong Liu,et al. Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[47] Hanan Samet,et al. Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling) , 2005 .