*2019 IEEE International Conference on Big Data (IEEE BigData 2019) (http://bigdataieee.org/BigData2019/ http://bigdataieee.org/BigData2019/)* * Dec 9-12, 2019 **●** Los Angeles, CA, USA* The 2019 IEEE International Conference on Big Data (IEEE Big Data 2019) will be held in Los Angeles, CA, Dec 9-12, 2019 (*http://bigdataieee.org/BigData2019/ http://bigdataieee.org/BigData2019/)*, we would like to invite you to join this exciting event. We will have a very high-quality program. The highlights of the IEEE Big Data 2019 program are summarized as below (1) High quality technical program: 106 regular papers selected from 556 full paper submissions from 2057 authors and co-authors at 52 countries. (IEEE Big Data is a top-tier conference, regular paper acceptance rate has been less than 20% since its inception). (2) 5 confirmed keynote speeches by leading experts http://bigdataieee.org/BigData2019/KeynoteSpeech.html *· **Prof. Lise Getoor*: TBD · *Dr. Ramanathan Guha:* TBD *· **Prof. **Ling Liu*: Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems · *Prof. J**udea Pearl:* The new science of cause and effect, with reflections on data science and artificial intelligence · *Prof. Yang Qiang: TBD* (3) IEEE Big Data 2019 Industry and Government program. 8 full session presentations, all the talks and discussions reflect perspectives from industry on how to address challenging big data issues relevant to industrial settings. (4) BigData Cup Challenges · Solar Flare Prediction from Time Series of Solar Magnetic Field Parameters http://dmlab.cs.gsu.edu/bigdata19/flare-comp/ · FEMH Voice Data Challenge 2019 http://femhchallenge2019.ddns.net/femh2019/ · Suspicious Network Event Recognition · Real-time Machine Learning Competition on Data Streams · Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions · Brain Data Bank Challenge http://bigdataieee.org/BigData2019/BigDataCupChallenges.html (5) 44 workshops cover many emerging new research directions in big data http://bigdataieee.org/BigData2019/Workshops.html (6) 9 Tutorials, poster program etc. Tutorial 1: Process mining: Leveraging event data to understand and improve organizations http://bigdataieee.org/BigData2019/Tutorials.html#tutorial1 Tutorial 2: Taming Unstructured Big Data: Automated Information Extraction from Massive Text http://bigdataieee.org/BigData2019/Tutorials.html#tutorial2Tutorial 3: Secure and Privacy-Preserving Big-Data Processing http://bigdataieee.org/BigData2019/Tutorials.html#tutorial3 Tutorial 4: NewSQL : principles, systems and current trends http://bigdataieee.org/BigData2019/Tutorials.html#tutorial4Tutorial 5: An Overview of the Big Data Approaches for Profitable Social Network Analysis http://bigdataieee.org/BigData2019/Tutorials.html#tutorial5 Tutorial 6: Large scale semantic graph data management and analytics http://bigdataieee.org/BigData2019/Tutorials.html#tutorial6 Tutorial 7: Industrial AI: Machine Learning for Maintenance and Repair http://bigdataieee.org/BigData2019/Tutorials.html#tutorial7Tutorial 8: How to build and run a big data platform in the 21st century http://bigdataieee.org/BigData2019/Tutorials.html#tutorial8Tutorial 9: Deep Learning on Big Data with Multi-Node GPU Jobs http://bigdataieee.org/BigData2019/Tutorials.html#tutorial9 http://bigdataieee.org/BigData2019/Tutorials.html Please register at *http://bigdataieee.org/BigData2019/Registration.html http://bigdataieee.org/BigData2019/Registration.html* The regular registration package includes three lunches, one banquet, coffee breaks, the conference proceedings and all the technical presentations (keynote, paper presentations, tutorials, posters, workshops). We also offer one-day registration too. To subscribe to this list, the user sends an email, with blank subject line, to listserv@lists.drexel.edu. In the text box, the user types: subscribe BIGDATA To unsubscribe from a list, the user sends an email to listserv@lists.drexel.edu with the message signoff BIGDATA ######################################################################## To unsubscribe from the BIGDATA list, click the following link: http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3MzkzIHNlbS1ncmRAT0dGLk9SRyBCSUdEQVRBIPdVuZL%2Fslxl&c=SIGNOFF