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Titlebook: Recent Developments in Machine Learning and Data Analytics; IC3 2018 Jugal Kalita,Valentina Emilia Balas,Ratika Pradhan Conference proceedi

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樓主: Filament
21#
發(fā)表于 2025-3-25 03:56:02 | 只看該作者
Indra Narayan Dutta,Neelotpal Chakraborty,Ayatullah Faruk Mollah,Subhadip Basu,Ram Sarkar
22#
發(fā)表于 2025-3-25 08:18:19 | 只看該作者
23#
發(fā)表于 2025-3-25 13:06:53 | 只看該作者
Sushruta Mishra,Chandrakanta Mahanty,Shreela Dash,Brojo Kishore Mishra
24#
發(fā)表于 2025-3-25 15:51:11 | 只看該作者
Recent Developments in Machine Learning and Data AnalyticsIC3 2018
25#
發(fā)表于 2025-3-25 20:52:12 | 只看該作者
26#
發(fā)表于 2025-3-26 04:13:08 | 只看該作者
Ishita Chakraborty,Anannya Chakraborty,Prodipto Dasl and cultural conditions of young people’s lives—to be foregrounded in strategies aimed at addressing this complex youth wellbeing issue.?.This text will be of interest to scholars in gender studies, youth stu978-3-030-70161-1978-3-030-70159-8
27#
發(fā)表于 2025-3-26 05:32:48 | 只看該作者
Pooja P. Talan,Kartik U. Sharma,Pratiksha P. Nawade,Karishma P. Talanion sources.?.In the end, .Everyday Enterprise Architecture. will help you develop the skills, judgment, and awareness to keep enhancing the value of your architectural projects.??.What You‘ll Learn.Work on arc978-1-4842-8903-7978-1-4842-8904-4
28#
發(fā)表于 2025-3-26 10:33:52 | 只看該作者
Sonal Jain,Harshita Khangarot,Shivank Singhight have in making a transition without moral loss from regarding greed as inappropriate to its later qualified acceptance. Through a secular appr978-3-030-70089-8978-3-030-70087-4Series ISSN 2211-2707 Series E-ISSN 2211-2723
29#
發(fā)表于 2025-3-26 13:42:47 | 只看該作者
Conference proceedings 2019 and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work t
30#
發(fā)表于 2025-3-26 19:42:37 | 只看該作者
Journal Recommendation System Using Content-Based Filtering,y tedious task for the novice authors. In this paper, Journal Recommendation System (JRS) is proposed, which will solve the problem of publication for many authors. Content-based filtering method is used for this purpose. The dataset used is prepared by the authors and distance algorithm is used for recommendation.
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