Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xiantian Zhou"'
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3fe5c4f83e52dc2f87e6dc9938f0e95
https://doi.org/10.1145/3511808.3557164
https://doi.org/10.1145/3511808.3557164
Autor:
Xiantian Zhou, Carlos Ordonez
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23e80821396703c9a1440ca7b5334527
https://doi.org/10.1109/bigdata52589.2021.9672007
https://doi.org/10.1109/bigdata52589.2021.9672007
Autor:
Carlos Ordonez, Xiantian Zhou
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030865337
DaWaK
DaWaK
Graph analytics is important in data science research, where Python is nowadays the most popular language among data analysts. It facilitates many packages for graph analytics. However, those packages are either too specific or cannot work on graphs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ad4dbba62cbb2ba25c06351ebf9b662
https://doi.org/10.1007/978-3-030-86534-4_15
https://doi.org/10.1007/978-3-030-86534-4_15
Autor:
Carlos Ordonez, Xiantian Zhou
Publikováno v:
IEEE BigData
Analyzing large data sets are challenging. Most data analytics research has proposed parallel algorithms that outside a DBMS because SQL is considered inadequate for complexity computations. R and Python are popular analysis systems that provide a va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e08488b6fe3e1f5b73a8aa10a2fd73
https://doi.org/10.1109/bigdata50022.2020.9378275
https://doi.org/10.1109/bigdata50022.2020.9378275
Publikováno v:
IEEE BigData
Big Data Systems (Hadoop, DBMSs) require a complicated setup and tuning to store and process big data on a parallel cluster. This is mainly due to static partitioning when data sets are loaded or copied into the file system. Parallel processing there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85d304837d5f29bf48fc0f824032b362
https://doi.org/10.1109/bigdata50022.2020.9378386
https://doi.org/10.1109/bigdata50022.2020.9378386
Autor:
Xiantian Zhou, Carlos Ordonez
Publikováno v:
IEEE BigData
In big data analytics, graph problems are as important as machine learning. There exist many algorithms to analyze large graphs, but most of them are limited by the main memory. On the other hand, a lot of data stored on DBMSs needs to be analyzed as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89aa4af34fcf34493a3db1f614d1b58a
https://doi.org/10.1109/bigdata47090.2019.9006312
https://doi.org/10.1109/bigdata47090.2019.9006312
Publikováno v:
Journal of Petroleum Science and Engineering. 188:106916
Being introduced in the last decade for proactive geosteering, directional resistivity logging-while-drilling (DRLWD) measurements have been used to predict and invert formation boundary, which provides more confidence to geosteering engineers in ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d343d342146630a57b1701e771bf07
https://doi.org/10.1016/j.petrol.2020.106916
https://doi.org/10.1016/j.petrol.2020.106916