{"id":"https://openalex.org/W2121944981","doi":"https://doi.org/10.1145/1242572.1242769","title":"Using d-gap patterns for index compression","display_name":"Using d-gap patterns for index compression","publication_year":2007,"publication_date":"2007-05-08","ids":{"openalex":"https://openalex.org/W2121944981","doi":"https://doi.org/10.1145/1242572.1242769","mag":"2121944981"},"language":"en","primary_location":{"id":"doi:10.1145/1242572.1242769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1242572.1242769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th international conference on World Wide Web","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067207374","display_name":"Jinlin Chen","orcid":"https://orcid.org/0000-0003-3923-8844"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jinlin Chen","raw_affiliation_strings":["City Univ. of New York, Flushing, NY","City University of New York, Flushing, NY"],"affiliations":[{"raw_affiliation_string":"City Univ. of New York, Flushing, NY","institution_ids":["https://openalex.org/I174216632"]},{"raw_affiliation_string":"City University of New York, Flushing, NY","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078074113","display_name":"Terry Cook","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Terry Cook","raw_affiliation_strings":["City Univ. of New York, Flushing, NY","City University of New York, Flushing, NY"],"affiliations":[{"raw_affiliation_string":"City Univ. of New York, Flushing, NY","institution_ids":["https://openalex.org/I174216632"]},{"raw_affiliation_string":"City University of New York, Flushing, NY","institution_ids":["https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067207374"],"corresponding_institution_ids":["https://openalex.org/I174216632"],"apc_list":null,"apc_paid":null,"fwci":0.9385,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82217188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1209","last_page":"1210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.9153950214385986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541464328765869},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5950256586074829},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5773292183876038},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5620006918907166},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5491854548454285},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5083066821098328},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47133541107177734},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44719457626342773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42168065905570984},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4209647476673126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4076458811759949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.269534170627594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1910993754863739},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.13278833031654358},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10673844814300537},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0929933488368988},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07152727246284485},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06476444005966187}],"concepts":[{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.9153950214385986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541464328765869},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5950256586074829},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5773292183876038},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5620006918907166},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5491854548454285},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5083066821098328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47133541107177734},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44719457626342773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42168065905570984},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4209647476673126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4076458811759949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.269534170627594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1910993754863739},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.13278833031654358},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10673844814300537},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0929933488368988},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07152727246284485},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06476444005966187},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1242572.1242769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1242572.1242769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th international conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1575155361","https://openalex.org/W2128777897","https://openalex.org/W2133986984","https://openalex.org/W2140977185"],"related_works":["https://openalex.org/W1512321724","https://openalex.org/W4231317009","https://openalex.org/W2367696392","https://openalex.org/W4383723869","https://openalex.org/W4293703255","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W2971898028","https://openalex.org/W4383722264"],"abstract_inverted_index":{"Sequential":[0],"patterns":[1,27,44],"of":[2,9,24,96],"d-gaps":[3],"exist":[4],"pervasively":[5],"in":[6,66],"inverted":[7,36,68,75],"lists":[8,69,76],"Web":[10],"document":[11],"collection":[12],"indices":[13],"due":[14],"to":[15],"the":[16,22,54,67,93],"cluster":[17],"property.":[18],"In":[19],"this":[20,88],"paper":[21],"information":[23],"d-gap":[25,42],"sequential":[26,43],"is":[28],"used":[29],"as":[30],"a":[31,46],"new":[32],"dimension":[33],"for":[34],"improving":[35],"index":[37],"compression.":[38],"We":[39],"first":[40],"detect":[41],"using":[45],"novel":[47],"data":[48],"structure,":[49],"UpDown":[50],"Tree.":[51],"Based":[52],"on":[53],"detected":[55],"patterns,":[56],"we":[57],"further":[58],"substitute":[59],"each":[60],"pattern":[61,64],"with":[62,80],"its":[63],"Id":[65],"that":[70,87],"contain":[71],"it.":[72],"The":[73],"resulted":[74],"are":[77],"then":[78],"coded":[79],"an":[81],"existing":[82,97],"coding":[83],"scheme.":[84],"Experiments":[85],"show":[86],"approach":[89],"can":[90],"effectively":[91],"improve":[92],"compression":[94],"ratio":[95],"codes.":[98]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}