This week’s seminar is organized as follows:
1. The seminar time is 1.pm, Wed.<\/strong>, at Zhongguancun Technology Park ,Building 5, 1306.
2. The lecturer is Yvette<\/strong>, the paper’s title is Curriculum Learning for Natural Answer Generation<\/strong>.
3. The seminar will be hosted by Baohua Zhang.
4. Attachment is the paper of this seminar, please download in advance.

<\/p>\n\n\n\n

Anyone interested in this topic is welcomed to join us. the following is the abstract for this week\u2019s paper.<\/p>\n\n\n\n

\n\t\t
\n\t\t\tCredit Card Fraud Detection using Non-Overlapped Risk based Bagging\nEnsemble (NRBE)\n\t\t<\/p>\n\t\t
\n\t\t\tS. Akila U. Srinivasulu Reddy\n\t\t<\/p>\n\t\t
\n\t\t\tAbstract\n\t\t<\/p>\n\t\t
\n\t\t\t Fraud due to credit card misuse costs\nconsumers several billions of dollars annually. This is due to the huge usage\nlevels and inability of the systems to automatically detect the anomalies. This\npaper analyzes the implicit nature of data with noise and imbalance and\nproposes a Non-overlapped Risk based Bagged Ensemble model (NRBE) to handle\nimbalance and noise contained in the credit card transactions. The bagging\nmodel has been enhanced in terms of a novel bag creation model and an effective\nrisk based base learner. Non-overlapped bag creation generates training subsets\nto handle data imbalance and the risk based Na?ve Bayes eliminates the issues\narising due to noise. Experiments were conducted and comparisons were performed\nwith existing state-of-the-art fraud detection models, which indicates that\nNRBE exhibits improved performances of 5% in terms of BCR and BER, 50% in terms\nof Recall and 2X to 2.5X times reduced cost.<\/span>\n\t\t<\/p>\n\t<\/div>\n<\/p>\n\n\n\n
$\"\"$ <\/figure>\n\n\n\n
NRBE<\/a>\u4e0b\u8f7d<\/a><\/div>\n\n\n\n\n\n\n\n
NLPIR\nSEMINAR 15th ISSUE COMPLETED<\/strong><\/h2>\n\n\n\n
Last week, Yvette gave a presentation about\nthe paper, Credit Card Fraud Detection\nusing Non-Overlapped Risk based Bagging Ensemble (NRBE)<\/strong>, and shared some\nopinion on it.<\/p>\n\n\n\n
$\"\"$ <\/figure><\/div>\n\n\n\n
After the presentation, several questions\nwere asked. The Q&As are listed as following:<\/p>\n\n\n\n
Q: can you tell me why Na\u00efve Bayes is used in this paper?
A: To handle the noise and imbalance of the data
<\/p>\n\n\n\n
Q: What is the innovation of this article compared to related work?
A: He proposed the Non-Overlapped Risk based Bagging Ensemble(NRBE) <\/p>\n\n\n\n
Q: In the data set how many are fraud?
A: The Brazilian Bank dataset consists of 0.3 million instances and exhibits an imbalance ratio of 25.7, but don\u2019t have statistic the mount of the fraud data. <\/p>\n","protected":false},"excerpt":{"rendered":"
NLPIR SEMINAR Y2019#2 INTRO\ufeff &nbsp … \u7ee7\u7eed\u9605\u8bfb →<\/span><\/a><\/p>\n","protected":false},"author":862,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37,38],"tags":[],"_links":{"self":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/6597"}],"collection":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/users\/862"}],"replies":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/comments?post=6597"}],"version-history":[{"count":4,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/6597\/revisions"}],"predecessor-version":[{"id":6660,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/6597\/revisions\/6660"}],"wp:attachment":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/media?parent=6597"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/categories?post=6597"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/tags?post=6597"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

NLPIR SEMINAR Y2019#2<\/h2>\n\n\n\n