Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Navneet Potti"'
Publikováno v:
Proceedings of the VLDB Endowment. 14:997-1005
Extracting structured information from templatic documents is an important problem with the potential to automate many real-world business workflows such as payment, procurement, and payroll. The core challenge is that such documents can be laid out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4150249b863984a8726ab7aac0e6c1
https://doi.org/10.14778/3447689.3447703
https://doi.org/10.14778/3447689.3447703
Autor:
Marc Najork, Navneet Potti, Qi Zhao, James B. Wendt, Bodhisattwa Prasad Majumder, Sandeep Tata
Publikováno v:
ACL
We propose a novel approach using representation learning for tackling the problem of extracting structured information from form-like document images. We propose an extraction system that uses knowledge of the types of the target fields to generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38ac19d240c58c3abbf5c927e718d6c
https://doi.org/10.18653/v1/2020.acl-main.580
https://doi.org/10.18653/v1/2020.acl-main.580
Autor:
Jianqiao Zhu, Hakan Memisoglu, Navneet Potti, Marc Spehlmann, Zuyu Zhang, Harshad Deshmukh, Jignesh M. Patel, Saket Saurabh
Publikováno v:
Proceedings of the VLDB Endowment. 11:663-676
Modern servers pack enough storage and computing power that just a decade ago was spread across a modest-sized cluster. This paper presents a prototype system, called Quickstep, to exploit the large amount of parallelism that is packed inside modern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::168a575ef84fe652ae3b014ff21a3018
https://doi.org/10.14778/3199517.3199518
https://doi.org/10.14778/3199517.3199518
Publikováno v:
Proceedings of the VLDB Endowment. 10:889-900
Query optimizers and query execution engines cooperate to deliver high performance on complex analytic queries. Typically, the optimizer searches through the plan space and sends a selected plan to the execution engine. However, optimizers may at tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b9fcdb78ba4689927a2fd1d57b37b86
https://doi.org/10.14778/3090163.3090167
https://doi.org/10.14778/3090163.3090167
Publikováno v:
WWW
A vast majority of the emails received by people today are machine-generated by businesses communicating with consumers. While some emails originate as a result of a transaction (e.g., hotel or restaurant reservation confirmations, online purchase re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ab68a269e59a56fa2e255a5066f424
https://doi.org/10.1145/3178876.3186167
https://doi.org/10.1145/3178876.3186167
Autor:
Navneet Potti, Jignesh M. Patel
Publikováno v:
Proceedings of the VLDB Endowment. 8:898-909
Many modern applications deal with exponentially increasing data volumes and aid business-critical decisions in near real-time. Particularly in exploratory data analysis, the focus is on interactive querying and some degree of error in estimated resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::149033cda38fc95681f72277ee102abf
https://doi.org/10.14778/2777598.2777599
https://doi.org/10.14778/2777598.2777599
Autor:
Navneet Potti, Nimrod Megiddo, Uday B. Kale, Fatma Ozcan, Jan Schmitz-Hermes, Avrilia Floratou
Publikováno v:
SoCC
The memory and storage hierarchy in database systems is currently undergoing a radical evolution in the context of Big Data systems. SQL-on-Hadoop systems share data with other applications in the Big Data ecosystem by storing their data in HDFS, usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df66f255eca8dc609f6b3f0e9e912fe7
https://doi.org/10.1145/2987550.2987553
https://doi.org/10.1145/2987550.2987553