EDBT 2026 Demo / reviewers in the wild / expert
H. F. Lin
dblp:49/1894
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 1997
0009-0009-8634-5491ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 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.
| Databases, data mining, and information retrieval
1 paper |
Indexing and storage engines · 67% Information retrieval · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
hashing |
0.0 | 1 | 1997 | Optimal Bucket Allocation Design of k-ary MKH Files for Partial Match Retrieval · IEEE Trans. Knowl. Data Eng. 1997 |
Indexing and storage engines › hash index
multikey hashing |
0.0 | 1 | 1997 | Optimal Bucket Allocation Design of k-ary MKH Files for Partial Match Retrieval · IEEE Trans. Knowl. Data Eng. 1997 |
Indexing and storage engines
partial match retrieval |
0.0 | 1 | 1997 | Optimal Bucket Allocation Design of k-ary MKH Files for Partial Match Retrieval · IEEE Trans. Knowl. Data Eng. 1997 |
Methods — techniques the papers use, named apart from their topics
cyclic hashing · 0.0bucket allocation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Optimal Bucket Allocation Design of k-ary MKH Files for Partial Match RetrievalabstractThe paper first shows that the bucket allocation problem of an MKH (multiple key hashing) file for partial match retrieval can be reduced to that of a smaller sized subfile, called the remainder of the file. And it is pointed out that the remainder type MKH file is the hardest MKH file for which to design an optimal allocation scheme. The authors then particularly concentrate on the allocation of an important remainder type MKH file; namely, the k-ary MKH file. They present various sufficient conditions on the number of available disks and the number of attributes for a k-ary MKH file to have a perfectly optimal allocation among the disks for partial match queries. Based upon these perfectly optimal allocations, they further present a heuristic method, called the CH (cyclic hashing) method, to produce near optimal allocations for the general k-ary MKH files. Finally, a comparison, by experiment, between the performances of the proposed method and an "ideal" perfectly optimal method, shows that the CH method is indeed satisfactorily good for the general k-ary MKH files. H. F. Lin, Chin-Chen Chang 0001, Richard C. T. Lee |
IEEE Trans. Knowl. Data Eng. | 2 |
| 1996 | Redundant MKH Files Design among Multiple Disks for Concurrent Partial Match Retrieval
H. F. Lin, Richard C. T. Lee, Chin-Chen Chang 0001 |
J. Syst. Softw. | 2 |
| 1992 | Optimality Properties of the Disc Modulo Allocation Method for k-ary Multiple Key Hashing FilesabstractMultiple key hashing files have been shown to exhibit attractive properties for partial match retrieval. The Disc Modulo (DM) allocation method has recently been shown to facilitate partial match retrieval for multiple key hashing files on multiple discs. In this paper, it is shown that the DM allocation method is optimal for k-ary multiple key hashing files under the condition that k ≡ (0 or 1 or m−1) (modm) where m is the number of available discs. Chin-Chen Chang 0001, H. F. Lin |
Comput. J. | 2 |