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Relevant bibliographies by topics / Indexed data compression

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Journal articles

Academic literature on the topic 'Indexed data compression'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Indexed data compression"

1

Kaneiwa, Ken, and Koji Fujiwara. "The Compression of Indexed Data and Fast Search for Large RDF Graphs." Transactions of the Japanese Society for Artificial Intelligence 33, no. 2 (2018): E—H43_1–10. http://dx.doi.org/10.1527/tjsai.e-h43.

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2

M.K., Bouza. "Analysis and modification of graphic data compression algorithms." Artificial Intelligence 25, no. 4 (2020): 32–40. http://dx.doi.org/10.15407/jai2020.04.032.

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The article examines the algorithms for JPEG and JPEG-2000 compression of various graphic images. The main steps of the operation of both algorithms are given, their advantages and disadvantages are noted. The main differences between JPEG and JPEG-2000 are analyzed. It is noted that the JPEG-2000 algorithm allows re-moving visually unpleasant effects. This makes it possible to highlight important areas of the image and improve the quality of their compression. The features of each step of the algorithms are considered and the difficulties of their implementation are compared. The effectivenes

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3

Senthilkumar, Radha, Gomathi Nandagopal, and Daphne Ronald. "QRFXFreeze: Queryable Compressor for RFX." Scientific World Journal 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/864750.

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The verbose nature of XML has been mulled over again and again and many compression techniques for XML data have been excogitated over the years. Some of the techniques incorporate support for querying the XML database in its compressed format while others have to be decompressed before they can be queried. XML compression in which querying is directly supported instantaneously with no compromise over time is forced to compromise over space. In this paper, we propose the compressor, QRFXFreeze, which not only reduces the space of storage but also supports efficient querying. The compressor doe

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4

Hernández-Illera, Antonio, Miguel A. Martínez-Prieto, Javier D. Fernández, and Antonio Fariña. "iHDT++: improving HDT for SPARQL triple pattern resolution." Journal of Intelligent & Fuzzy Systems 39, no. 2 (2020): 2249–61. http://dx.doi.org/10.3233/jifs-179888.

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RDF self-indexes compress the RDF collection and provide efficient access to the data without a previous decompression (via the so-called SPARQL triple patterns). HDT is one of the reference solutions in this scenario, with several applications to lower the barrier of both publication and consumption of Big Semantic Data. However, the simple design of HDT takes a compromise position between compression effectiveness and retrieval speed. In particular, it supports scan and subject-based queries, but it requires additional indexes to resolve predicate and object-based SPARQL triple patterns. A r

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5

Moneta, G. L., A. D. Nicoloff, and J. M. Porter. "Compression Treatment of Chronic Venous Ulceration: A Review." Phlebology: The Journal of Venous Disease 15, no. 3-4 (2000): 162–68. http://dx.doi.org/10.1177/026835550001500316.

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Objective: To review the recent medical literature with regard to the use of compressive therapy in healing and preventing the recurrence of venous ulceration. Methods: Searches of Medline and Embase medical literature databases. Appropriate non-indexed journals and textbooks were also reviewed. Synthesis: Elastic compression therapy is regarded as the ‘gold standard’ treatment for venous ulceration. The benefits of elastic compression therapy in the treatment of venous ulceration may be mediated through favourable alterations in venous haemodynamics, micro-circulatory haemodynamics and/or imp

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6

Selivanova, Irina V. "Limitations of Applying the Data Compression Method to the Classification of Abstracts of Publications Indexed in Scopus." Vestnik NSU. Series: Information Technologies 18, no. 3 (2020): 57–68. http://dx.doi.org/10.25205/1818-7900-2020-18-3-57-68.

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The paper describes the limitations of applying the method of classification of scientific texts based on data compression to all categories indicated in the ASJC classification used in the Scopus bibliographic database. It is shown that the automatic generation of learning samples for each category is a rather time-consuming process, and in some cases is impossible due to the restriction on data upload installed in Scopus and the lack of category names in the Scopus Search API. Another reason is that in many subject areas there are completely no journals and, accordingly, publications that ha

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7

Shibuya, Yoshihiro, and Matteo Comin. "Indexing k-mers in linear space for quality value compression." Journal of Bioinformatics and Computational Biology 17, no. 05 (2019): 1940011. http://dx.doi.org/10.1142/s0219720019400110.

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Many bioinformatics tools heavily rely on [Formula: see text]-mer dictionaries to describe the composition of sequences and allow for faster reference-free algorithms or look-ups. Unfortunately, naive [Formula: see text]-mer dictionaries are very memory-inefficient, requiring very large amount of storage space to save each [Formula: see text]-mer. This problem is generally worsened by the necessity of an index for fast queries. In this work, we discuss how to build an indexed linear reference containing a set of input [Formula: see text]-mers and its application to the compression of quality s

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8

Gupta, Shweta, Sunita Yadav, and Rajesh Prasad. "Document Retrieval using Efficient Indexing Techniques." International Journal of Business Analytics 3, no. 4 (2016): 64–82. http://dx.doi.org/10.4018/ijban.2016100104.

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Document retrieval plays a crucial role in retrieving relevant documents. Relevancy depends upon the occurrences of query keywords in a document. Several documents include a similar key terms and hence they need to be indexed. Most of the indexing techniques are either based on inverted index or full-text index. Inverted index create lists and support word-based pattern queries. While full-text index handle queries comprise of any sequence of characters rather than just words. Problems arise when text cannot be separated as words in some western languages. Also, there are difficulties in space

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9

Navarro, Gonzalo. "Indexing Highly Repetitive String Collections, Part I." ACM Computing Surveys 54, no. 2 (2021): 1–31. http://dx.doi.org/10.1145/3434399.

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Two decades ago, a breakthrough in indexing string collections made it possible to represent them within their compressed space while at the same time offering indexed search functionalities. As this new technology permeated through applications like bioinformatics, the string collections experienced a growth that outperforms Moore’s Law and challenges our ability to handle them even in compressed form. It turns out, fortunately, that many of these rapidly growing string collections are highly repetitive, so that their information content is orders of magnitude lower than their plain size. The

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10

Gupta, Pranjal, Amine Mhedhbi, and Semih Salihoglu. "Columnar storage and list-based processing for graph database management systems." Proceedings of the VLDB Endowment 14, no. 11 (2021): 2491–504. http://dx.doi.org/10.14778/3476249.3476297.

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We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs). Similar to column-oriented RDBMSs, GDBMSs support read-heavy analytical workloads that however have fundamentally different data access patterns than traditional analytical workloads. We first derive a set of desiderata for optimizing storage and query processors of GDBMS based on their access patterns. We then present the design of columnar storage, compression, and query processing techniques based on these desiderata. In addition to showing direct int

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