Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiao Feng Guan
dblp:141/6347
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
out-of-core computation |
0.2 | 1 | 2014 | Suffix Array Construction in External Memory Using D-Critical Substrings · ACM Trans. Inf. Syst. 2014 |
Algorithms and data structures › sequence algorithms
string algorithms |
0.2 | 1 | 2014 | Suffix Array Construction in External Memory Using D-Critical Substrings · ACM Trans. Inf. Syst. 2014 |
Algorithms and data structures › sequence algorithms › string algorithms › string indexing
suffix array construction |
0.2 | 1 | 2014 | Suffix Array Construction in External Memory Using D-Critical Substrings · ACM Trans. Inf. Syst. 2014 |
Methods — techniques the papers use, named apart from their topics
d-critical substring sampling · 0.4cache data structures · 0.2cache data structure · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Suffix Array Construction in External Memory Using D-Critical SubstringsabstractWe present a new suffix array construction algorithm that aims to build, in external memory, the suffix array for an input string of length n measured in the magnitude of tens of Giga characters over a constant or integer alphabet. The core of this algorithm is adapted from the framework of the original internal memory SA-DS algorithm that samples fixed-size d-critical substrings. This new external-memory algorithm, called EM-SA-DS, uses novel cache data structures to construct a suffix array in a sequential scanning manner with good data spatial locality: data is read from or written to disk sequentially. On the assumed external-memory model with RAM capacity Ω (( nB ) 0.5 ), disk capacity O ( n ), and size of each I/O block B , all measured in log n -bit words, the I/O complexity of EM-SA-DS is O ( n / B ). This work provides a general cache-based solution that could be further exploited to develop external-memory solutions for other suffix-array-related problems, for example, computing the longest-common-prefix array, using a modern personal computer with a typical memory configuration of 4GB RAM and a single disk. Ge Nong, Wai Hong Chan, Sen Zhang 0007, Xiao Feng Guan |
ACM Trans. Inf. Syst. | 4 |