• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 43 matches

• 2020
• 
  Erum Mehmood, Tayyaba Anees:
  Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review. IEEE Access 8: 119123-119143 (2020)
• 
  Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
  Challenges in benchmarking stream learning algorithms with real-world data. Data Min. Knowl. Discov. 34(6): 1805-1858 (2020)
• 
  Dianne S. V. Medeiros, Helio N. Cunha Neto, Martin Andreoni Lopez, Luiz Claudio S. Magalhães, Natalia Castro Fernandes, Alex Borges Vieira, Edelberto F. Silva, Diogo M. F. Mattos:
  A survey on data analysis on large-Scale wireless networks: online stream processing, trends, and challenges. J. Internet Serv. Appl. 11(1): 6 (2020)
• 
  Alessandra Fais, Gregorio Procissi, Stefano Giordano, Francesco Oppedisano:
  Data Stream Processing in Software Defined Networks: Perspectives and Challenges. CAMAD 2020: 1-6
• 
  Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
  Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers. EAIS 2020: 1-8
• 
  Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
  Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. CoRR abs/2005.00113 (2020)
• 2019
• 
  Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama:
  Machine learning for streaming data: state of the art, challenges, and opportunities. SIGKDD Explor. 21(2): 6-22 (2019)
• 2018
• 
  Aritra Dasgupta, Dustin Lockhart Arendt, Lyndsey Franklin, Pak Chung Wong, Kristin A. Cook:
  Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization. Comput. Graph. Forum 37(1): 254-272 (2018)
• 
  Frederic Theodor Stahl:
  Building Adaptive Data Mining Models on Streaming Data in Real-Time, an Outlook on Challenges, Approaches and Ongoing Research. ECMS 2018: 8-9
• 2017
• 
  Muhammad Habib Ur Rehman, Chee Sun Liew, Teh Ying Wah, Muhammad Khurram Khan:
  Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions. J. Netw. Comput. Appl. 79: 1-24 (2017)
• 
  Nihla Akram, Sachini Siriwardene, Malith Jayasinghe, Miyuru Dayarathna, Isuru Perera, Seshika Fernando, Srinath Perera, Upul Bandara, Sriskandarajah Suhothayan:
  Anomaly Detection of Manufacturing Equipment via High Performance RDF Data Stream Processing: Grand Challenge. DEBS 2017: 280-285
• 
  Ciprian Amariei, Paul Diac, Emanuel Onica:
  Optimized Stage Processing for Anomaly Detection on Numerical Data Streams: Grand Challenge. DEBS 2017: 286-291
• 
  Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine:
  Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge. DEBS 2017: 292-297
• 
  Alfredo Cuzzocrea:
  Privacy-Preserving Big Data Stream Mining: Opportunities, Challenges, Directions. ICDM Workshops 2017: 992-994
• 
  Ciprian Amariei, Paul Diac, Emanuel Onica:
  Grand Challenge: Optimized Stage Processing for Anomaly Detection on Numerical Data Streams. CoRR abs/1712.08285 (2017)
• 2016
• 
  Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun:
  Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges. Int. J. Distributed Syst. Technol. 7(1): 1-14 (2016)
• 
  Marwan Hassani, Thomas Seidl:
  Clustering Big Data streams: recent challenges and contributions. it Inf. Technol. 58(4): 206-213 (2016)
• 
  Enzo Baccarelli, Nicola Cordeschi, Alessandro Mei, Massimo Panella, Mohammad Shojafar, Julinda Stefa:
  Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study. IEEE Netw. 30(2): 54-61 (2016)
• 
  Simon Fong, Kexing Liu, Kyungeun Cho, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi:
  Improvised methods for tackling big data stream mining challenges: case study of human activity recognition. J. Supercomput. 72(10): 3927-3959 (2016)
• 
  Gevorg Margarov, Mher Markosyan, Yeghisabet Alaverdyan:
  Real Time Streaming Algorithm. Meeting Security Challenges Through Data Analytics and Decision Support 2016: 248-255
• 2015
• 
  Mahsa Salehi:
  Anomaly detection in data streams: challenges and techniques. University of Melbourne, Australia, 2015
• 
  Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski:
  Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 4(1): 17 (2015)
• 
  Malcolm I. Heywood:
  Evolutionary model building under streaming data for classification tasks: opportunities and challenges. Genet. Program. Evolvable Mach. 16(3): 283-326 (2015)
• 
  Dawei Sun, Chunxiao Liu, Dongfeng Ren:
  Prospects, challenges and latest developments in designing a scalable big data stream computing system. Int. J. Wirel. Mob. Comput. 9(2): 155-160 (2015)
• 
  Rudyar Cortés, Xavier Bonnaire, Olivier Marin, Pierre Sens:
  Stream Processing of Healthcare Sensor Data: Studying User Traces to Identify Challenges from a Big Data Perspective. ANT/SEIT 2015: 1004-1009
• 
  Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas:
  Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges. Algorithms, Probability, Networks, and Games 2015: 242-260
• 2014
• 
  Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski:
  Open challenges for data stream mining research. SIGKDD Explor. 16(1): 1-10 (2014)
• 
  João Gama:
  Challenges in Learning from Streaming Data Extended Abstract. ICT Innovations 2014: 1-5
• 
  Fabian Fischer, Florian Stoffel:
  NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3). IEEE VAST 2014: 373-374
• 2013
• 
  Irene Finocchi:
  Software Streams: Big Data Challenges in Dynamic Program Analysis. CiE 2013: 124-134

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