{"id":"https://openalex.org/W2117006749","doi":"https://doi.org/10.1109/dcc.2003.1194007","title":"PPM model cleaning","display_name":"PPM model cleaning","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2117006749","doi":"https://doi.org/10.1109/dcc.2003.1194007","mag":"2117006749"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.2003.1194007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2003.1194007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2003. Proceedings. DCC 2003","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/A5000723047","display_name":"Milenko Drini\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Drinic","raw_affiliation_strings":["Computer Science Department, University of California, Los Angeles, CA, USA","Dept. of comput. Sci., California Univ., Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Dept. of comput. Sci., California Univ., Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030613945","display_name":"Darko Kirovski","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Kirovski","raw_affiliation_strings":["Microsoft Research Limited, Redmond, WA, USA","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Limited, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082847985","display_name":"Miodrag Potkonjak","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Potkonjak","raw_affiliation_strings":["Computer Science Department, University of California, Los Angeles, CA, USA","University of California\u2013Los Angeles"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California\u2013Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000723047"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.9137,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81269459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7267416715621948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105425596237183},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6889650225639343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6060379147529602},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5899867415428162},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5859708786010742},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5836342573165894},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5351527333259583},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.47830063104629517},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1600896120071411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15341100096702576},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07955858111381531}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7267416715621948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105425596237183},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6889650225639343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6060379147529602},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5899867415428162},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5859708786010742},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5836342573165894},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5351527333259583},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.47830063104629517},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1600896120071411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15341100096702576},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07955858111381531},{"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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.2003.1194007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2003.1194007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2003. Proceedings. DCC 2003","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W158805393","https://openalex.org/W1523411787","https://openalex.org/W1571468614","https://openalex.org/W1591719784","https://openalex.org/W2054658115","https://openalex.org/W2072210981","https://openalex.org/W2089319476","https://openalex.org/W2113641473","https://openalex.org/W2135083501","https://openalex.org/W2135771747","https://openalex.org/W2160484851","https://openalex.org/W2161628678","https://openalex.org/W6607690945","https://openalex.org/W6633973504","https://openalex.org/W7019941563"],"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/W4383722264","https://openalex.org/W1723410974"],"abstract_inverted_index":{"The":[0,60],"prediction":[1],"by":[2,26,54],"partial":[3],"matching":[4],"(PPM)":[5],"algorithm":[6,29,48,61,85,117],"uses":[7],"a":[8,82],"cumulative":[9],"frequency":[10],"count":[11],"of":[12,35,40,66,77,102,108,113],"input":[13,79],"symbols":[14],"in":[15],"different":[16],"contexts":[17],"to":[18,92,123],"estimate":[19],"its":[20,41],"probability":[21],"distribution.":[22],"Compression":[23],"ratios":[24],"yielded":[25],"the":[27,51,55,67,78,87,95,100,106,110,116,119],"PPM":[28,56,68],"have":[30],"not":[31,72],"instigated":[32],"broader":[33],"use":[34],"this":[36],"scheme":[37],"mainly":[38],"because":[39],"high":[42],"demand":[43],"for":[44],"computational":[45],"resources.":[46],"An":[47],"that":[49],"improves":[50,86],"memory":[52,96,120],"usage":[53,121],"model":[57],"is":[58],"presented.":[59],"identifies":[62],"and":[63],"removes":[64],"portions":[65],"model,":[69],"which":[70],"are":[71],"contributing":[73],"toward":[74],"better":[75],"modeling":[76],"data.":[80],"As":[81],"result,":[83],"our":[84],"average":[88],"compression":[89,114],"ratio":[90],"up":[91,122],"7%":[93],"under":[94],"limitation":[97],"constraint":[98,107],"at":[99],"expense":[101],"increased":[103],"computation.":[104],"Under":[105],"maintaining":[109],"same":[111],"level":[112],"ratios,":[115],"reduces":[118],"70%.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
