Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Xie, Zhongle"'
Over the recent years, Shapley value (SV), a solution concept from cooperative game theory, has found numerous applications in data analytics (DA). This paper provides the first comprehensive study of SV used throughout the DA workflow, which involve
Externí odkaz:
http://arxiv.org/abs/2412.01460
Autor:
Yue, Cong, Dinh, Tien Tuan Anh, Xie, Zhongle, Zhang, Meihui, Chen, Gang, Ooi, Beng Chin, Xiao, Xiaokui
Verifiable ledger databases protect data history against malicious tampering. Existing systems, such as blockchains and certificate transparency, are based on transparency logs -- a simple abstraction allowing users to verify that a log maintained by
Externí odkaz:
http://arxiv.org/abs/2207.00944
Data processing and analytics are fundamental and pervasive. Algorithms play a vital role in data processing and analytics where many algorithm designs have incorporated heuristics and general rules from human knowledge and experience to improve thei
Externí odkaz:
http://arxiv.org/abs/2108.04526
Databases in the past have helped businesses maintain and extract insights from their data. Today, it is common for a business to involve multiple independent, distrustful parties. This trend towards decentralization introduces a new and important re
Externí odkaz:
http://arxiv.org/abs/2008.09268
Autor:
Lin, Qian, Yang, Kaiyuan, Dinh, Tien Tuan Anh, Cai, Qingchao, Chen, Gang, Ooi, Beng Chin, Ruan, Pingcheng, Wang, Sheng, Xie, Zhongle, Zhang, Meihui, Vandans, Olafs
Data collaboration activities typically require systematic or protocol-based coordination to be scalable. Git, an effective enabler for collaborative coding, has been attested for its success in countless projects around the world. Hence, applying th
Externí odkaz:
http://arxiv.org/abs/2004.07585
Autor:
Yue, Cong, Xie, Zhongle, Zhang, Meihui, Chen, Gang, Ooi, Beng Chin, Wang, Sheng, Xiao, Xiaokui
In emerging applications such as blockchains and collaborative data analytics, there are strong demands for data immutability, multi-version accesses, and tamper-evident controls. This leads to three new index structures for immutable data, namely Me
Externí odkaz:
http://arxiv.org/abs/2003.02090
Autor:
Wang, Sheng, Dinh, Tien Tuan Anh, Lin, Qian, Xie, Zhongle, Zhang, Meihui, Cai, Qingchao, Chen, Gang, Fu, Wanzeng, Ooi, Beng Chin, Ruan, Pingcheng
Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse range of applications. However, new classes of applications have emerged, e.g., blockchain and collaborative analytics, featuring data versioning, f
Externí odkaz:
http://arxiv.org/abs/1802.04949
Autor:
Dinh, Anh, Wang, Ji, Wang, Sheng, Chen, Gang, Chin, Wei-Ngan, Lin, Qian, Ooi, Beng Chin, Ruan, Pingcheng, Tan, Kian-Lee, Xie, Zhongle, Zhang, Hao, Zhang, Meihui
Today's storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too high-level (e.g., relational databases, Git) that they lack generality to
Externí odkaz:
http://arxiv.org/abs/1702.02799
Due to the coarse granularity of data accesses and the heavy use of latches, indices in the B-tree family are not efficient for in-memory databases, especially in the context of today's multi-core architecture. In this paper, we present PI, a Paralle
Externí odkaz:
http://arxiv.org/abs/1601.00159
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.