Čájehuvvojit 1 - 5 oktiibuot 5 bohtosis ohcui "lowest common ancestor"', ohcanáigi: 0,12s Aiddostahte ozu
  1. 1

    Enhance efficiency of answering XML keyword query using incompact structure of MCCTree Dahkki Sazaly, Ummu Sulaim

    Almmustuhtton 2012
    “…Many notions and techniques have been introduced especially to process query of information. Compact Lowest Common Ancestor (CLCA) and Maximal Compact Lowest Common Ancestor (MCLCA) implemented in algorithms named CGTreeGenerator and MCCTreeGenerator has been proven in returning an accurate result in answering XML keyword query. …”
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    Oahppočájánas
  2. 2

    Document enrichment using semantic tags for effective XML retrieval Dahkki Abubakar, Roko, C. Doraisamy, Shyamala, Azman, Azreen, Jantan, Azrul Hazri

    Almmustuhtton 2013
    “…The existing systems that support Content Only (CO) queries can be categorized into three. The Lowest Common Ancestor (LCA)-based, Query structuring systems and document Structure based systems. …”
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    Artihkal
  3. 3

    Design and Implementation of Spatial Operators and Energy-Efficient Query Processing Strategy in Wireless Sensor Network Database System Dahkki Chong sok Lim, Jeong-Hoon Lee, Minjee Park, Soon J. Hyun

    Almmustuhtton 2015-06-01
    “…Our energy-efficient query processing strategy implements an in-network query management based on the lowest common ancestor (LCA) algorithm, so that the query processing cost for calculating the target spaces is greatly reduced by avoiding the need of heavy query/data transmissions between the base-station and target nodes. …”
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    Artihkal
  4. 4

    PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction Dahkki Junjian Lu, Siwei Liu, Dmitrii Kobylianskii, Etienne Dreyer, Eilam Gross, Shangsong Liang

    Almmustuhtton 2024-01-01
    “…In particular, we use a compact matrix representation termed as lowest common ancestor generations matrix , to encode the particle decay tree structure. …”
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  5. 5

    Taxonomic Characterization of Honey Bee (Apis mellifera) Pollen Foraging Based on Non-Overlapping Paired-End Sequencing of Nuclear Ribosomal Loci. Dahkki R Scott Cornman, Clint R V Otto, Deborah Iwanowicz, Jeffery S Pettis

    Almmustuhtton 2015-01-01
    “…Operational taxonomic units (OTUs) were picked from scaffolds clustered at 97% identity, searched by BLAST against the nt database, and given taxonomic assignments using the paired-read lowest common ancestor approach. Taxonomic assignments and quantitative patterns were consistent with known plant distributions, phenology, and observational reports of pollen foraging, but revealed an unexpected contribution from non-crop graminoids and wetland plants. …”
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