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| Presentation | 2015-12-04 15:35 A Streaming Algorithm on a Big Data Replay Engine is Best Written as a jQuery Script Marat Zhanikeev (Kyutech)  AI2015-22 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The idea of using jQuery general logic and its concept of chains as a natural language processing environment has been proposed by this author a couple of years ago. The comeback for this idea has become possible in view of the recent advances in Big Data processing, also part of this author's research. The Big Data Replay method has been proposed as an alternative to Hadoop. The replay logic -- Big Data is actually replayed along the timeline -- makes it possible to write jobs as streaming algorithms, which helps not only with the statistical rigidity, but also with accountability/trustworthiness of the outcome. This paper discusses the missing link in this package, which is a language/interpreter/optimizer for writing and running such jobs. jQuery is back on the table, its selectors and functions mapped to data filters, time window management, and other functions required by a generic streaming algorithm. This paper discusses the early stage of both the jQuery syntax and its interpretation technology. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | bigdata replay / streaming algorithm / massively multicore / jquery / programming language / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 337, AI2015-22, pp. 57-60, Dec. 2015. | |
| Paper # | AI2015-22 | |
| Date of Issue | 2015-11-27 (AI) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | AI2015-22 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2015-12-04 - 2015-12-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyutech-Salite |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2015-12-AI |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Streaming Algorithm on a Big Data Replay Engine is Best Written as a jQuery Script |
| Sub Title (in English) | |
| Keyword(1) | bigdata replay |
| Keyword(2) | streaming algorithm |
| Keyword(3) | massively multicore |
| Keyword(4) | jquery |
| Keyword(5) | programming language |
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| 1st Author's Name | Marat Zhanikeev |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2015-12-04 15:35:00 |
| Presentation Time | 20 minutes |
| Registration for | AI |
| Paper # | AI2015-22 |
| Volume (vol) | vol.115 |
| Number (no) | no.337 |
| Page | pp.57-60 |
| #Pages | 4 |
| Date of Issue | 2015-11-27 (AI) |
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