Chunk Boundary Detection
Chunk Boundary Detection is a content-partitioning method in content-addressable storage systems that identifies optimal segmentation points within data streams by analyzing local content characteristics to ensure granularity alignment with object boundaries.
29
Publications
1.9K
Citations
91
Authors
50
Institutions
Publications per year
2017–2026
8
Parents
29
Expert Chess Memory: Revisiting the Chunking Hypothesis
Fernand Gobet, Herbert A. Simon · Memory · 1998 · 314 citations
Record-boundary discovery in Web documents
David W. Embley, Yi Jiang, Y.-K. Ng · ACM SIGMOD Record · 1999 · 234 citations · Full text
Record-boundary discovery in Web documents
David W. Embley, Yi Jiang, Y.-K. Ng · 1999 · 137 citations
Efficient handling of concept drift and concept evolution over Stream Data
Ahsanul Haque, Latifur Khan, Michael Baron et al. · 2016 · 118 citations
1–5 of 29
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International Institute of Information Technology, Hyderabad, India
2 publications · 58 citations
2
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1–5 of 91
50

Huazhong University of Science and Technology
Wuhan, China
2 h-index
8 publications
406 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
200 citations
Brigham Young University
Provo, United States
2 h-index
6 publications
1.1K citations

Jadavpur University
Kolkata, India
2 h-index
8 publications
80 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
7 publications
979 citations

Indian Institute of Technology Hyderabad
Sangāreddi, India
2 h-index
10 publications
290 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
1 h-index
1 publications
82 citations
Helsinki Institute of Physics
Helsinki, Finland
1 h-index
1 publications
16 citations
1–8 of 50
2 publications · 85 citations
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1 publications · 11 citations
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Conference · 1 publications · 29 citations
1
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DKE · 1 publications · 16 citations
1
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1 publications · 16 citations
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