Result for "Data Mining",80

NTT Communication Science Laboratories Open House 2013 Efficient graph mining techniques for big data - Fast algorithms for large-scale graphs -

mining techniques for big data - Fast algorithms for large-scale graphs - Abstract Recent advances in

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata4/index_en.html

NTT Communication Science Laboratories Open House 2017

Exhibition Program 6 Fast mining of relationships of large-scale data An efficient algorithm for L1-graph

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/6/index_en.html

poster_en_6.pdf

, NTT SIC Email：fujiwara.yasuhiro(at)lab.ntt.co.jp Fast mining of relationships of large-scale data - An

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/6/poster_en_6.pdf

Language Technologies in a Multilingual World

) ----------------------------- Manual encoding of linguistic knowledge into rules Data-Driven Machine Translation (2000—now

https://www.rd.ntt/cs/event/openhouse/2011/talk/research1/openhouse-kevinalbert.pdf

poster_en3.pdf

Related works Contact 3 Efficient graph mining techniques for big data Abstract----- Recent

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata4/poster_en3.pdf

NTT Communication Science Laboratories Open House 2013 Network anomaly detection using big data analysis - Analyzing network failure/cyber attacks and their root causes -

NTT Communication Science Laboratories Open House 2013 Network anomaly detection using big data

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata5/index_en.html

Atsutoshi Kumagai | NTT R&D Website

Paper Award Papers See More Research Activity. Keywords AI, Machine Learning, Data Mining, Cyber

https://www.rd.ntt/e/organization/researcher/special/s_056.html

Behavioral technology modeling | NTT R&D Website

International Conference on Knowledge Discovery & Data Mining (KDD 2021), pp.1276-1286, 2021. Yuya Hikima

https://www.rd.ntt/e/hil/category/behavior_modeling/

NTT Communication Science Laboratories Open House 2013 Understanding stream data from essential elements - Feature selection for high-dimensional time series data -

- Abstract In this research, we develop a pattern mining technique from high-dimensional time series data

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata2/index_en.html

Technical fields

-choice behavior modeling of customers, complex system dynamics, social science, data mining Quality

https://www.rd.ntt/e/ns/qos/outline/

NTT Communication Science Laboratories Open House 2015 Program

:30 - 16:10 "When", "where", "what", and "how"? - Spatio-temporal multidimensional data analysis for

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

Katsumi Takahashi | NTT Social Informatics Laboratories | NTT R&D Website

interested in security problems related to big data/IoT, specifically with privacy concerns. He has developed

https://www.rd.ntt/e/sil/overview/evangelist/katsumi_takahashi.html

NTT Communication Science Laboratories Open House 2014 Smarter and instant analysis for huge amounts of video - Jubatus, a scalable big data real-time analysis framework -

amounts of video - Jubatus, a scalable big data real-time analysis framework - 日本語 English Home Greeting

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/4/index_en.html

H1-H4

Knowledge Discovery and Data Mining (KDD), pp. 363-371, 2008. [4] T. Iwata, A. Shah, Z. Ghahramani

https://www.rd.ntt/cs/event/openhouse/2017/talk/research1/talk_iwata.pdf

ICA2003 Home

, especially in communication, speech, biomedical signal processing, image processing, data mining, finance

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/home.html

NTT Communication Science Laboratories Open House 2019

Factorization for Spatio-Temporal Predictions,” in Proc. of 2017 IEEE International Conference on Data Mining

https://www.rd.ntt/cs/event/openhouse/2019/exhibition6/index_en.html

NTT Communication Science Laboratories Open House 2015

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Big Data Science Efficient

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/5/index_en.html

poster_en.pdf

clustering, regression, recommendation, classification, and graph mining. We can immediately analyze big data

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/4/poster_en.pdf

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D Website

statistical learning theory, data mining, data stream analysis, sensor networks, and more. Group Leader

https://www.rd.ntt/e/cs/team_project/icl/ls/

poster_en_1.pdf

area (ambient noise, motion) - air pollution hot spots (CO, PM2.5…) Data mining server Sensorized

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/1/poster_en_1.pdf