{"id":"https://openalex.org/W2747358102","doi":"https://doi.org/10.1007/978-3-319-93040-4_14","title":"Efficient Compression Technique for\u00a0Sparse Sets","display_name":"Efficient Compression Technique for\u00a0Sparse Sets","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2747358102","doi":"https://doi.org/10.1007/978-3-319-93040-4_14","mag":"2747358102"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-93040-4_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-93040-4_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.04799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031238051","display_name":"Rameshwar Pratap","orcid":"https://orcid.org/0000-0002-8824-6202"},"institutions":[{"id":"https://openalex.org/I882086362","display_name":"Wipro (Singapore)","ror":"https://ror.org/01hbz8t53","country_code":"SG","type":"company","lineage":["https://openalex.org/I4210090636","https://openalex.org/I882086362"]},{"id":"https://openalex.org/I4210090636","display_name":"Wipro (India)","ror":"https://ror.org/001ccf545","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210090636"]}],"countries":["IN","SG"],"is_corresponding":true,"raw_author_name":"Rameshwar Pratap","raw_affiliation_strings":["Wipro Technologies, Bangalore, India","Wipro technologies"],"affiliations":[{"raw_affiliation_string":"Wipro Technologies, Bangalore, India","institution_ids":["https://openalex.org/I4210090636"]},{"raw_affiliation_string":"Wipro technologies","institution_ids":["https://openalex.org/I882086362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025856708","display_name":"Ishan Sohony","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ishan Sohony","raw_affiliation_strings":["PICT, Pune, India","PICT"],"affiliations":[{"raw_affiliation_string":"PICT, Pune, India","institution_ids":[]},{"raw_affiliation_string":"PICT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109451514","display_name":"Raghav Kulkarni","orcid":null},"institutions":[{"id":"https://openalex.org/I19149307","display_name":"Chennai Mathematical Institute","ror":"https://ror.org/04zp24820","country_code":"IN","type":"education","lineage":["https://openalex.org/I19149307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raghav Kulkarni","raw_affiliation_strings":["Chennai Mathematical Institute, Chennai, India","Chennai Mathematical Institute"],"affiliations":[{"raw_affiliation_string":"Chennai Mathematical Institute, Chennai, India","institution_ids":["https://openalex.org/I19149307"]},{"raw_affiliation_string":"Chennai Mathematical Institute","institution_ids":["https://openalex.org/I19149307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031238051"],"corresponding_institution_ids":["https://openalex.org/I4210090636","https://openalex.org/I882086362"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50756564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"176"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6715918779373169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6620715856552124},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6017727255821228},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5457517504692078},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.544337809085846},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5185344815254211},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.515433669090271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5117478370666504},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.47553515434265137},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.46990105509757996},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46002286672592163},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43158698081970215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42992132902145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37861141562461853},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08830797672271729}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6715918779373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620715856552124},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6017727255821228},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5457517504692078},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.544337809085846},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5185344815254211},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.515433669090271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5117478370666504},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.47553515434265137},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.46990105509757996},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46002286672592163},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43158698081970215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42992132902145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37861141562461853},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08830797672271729},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-319-93040-4_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-93040-4_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:1708.04799","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04799","pdf_url":"https://arxiv.org/pdf/1708.04799","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2747358102","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1708.04799","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1708.04799","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.04799","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.04799","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04799","pdf_url":"https://arxiv.org/pdf/1708.04799","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1526840576","https://openalex.org/W1887266196","https://openalex.org/W1991800036","https://openalex.org/W2029852131","https://openalex.org/W2060170830","https://openalex.org/W2097776316","https://openalex.org/W2132069633","https://openalex.org/W2148885851","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2963733740","https://openalex.org/W1490458715","https://openalex.org/W144174343","https://openalex.org/W2740353565","https://openalex.org/W158921352","https://openalex.org/W2189011815","https://openalex.org/W2159472480","https://openalex.org/W2343765202","https://openalex.org/W2403549068","https://openalex.org/W576348561","https://openalex.org/W1973836650","https://openalex.org/W3099445134","https://openalex.org/W2949748389","https://openalex.org/W2981776365","https://openalex.org/W2783123230","https://openalex.org/W2585318140","https://openalex.org/W2529628230","https://openalex.org/W2946064759","https://openalex.org/W3176427671","https://openalex.org/W2810834465"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}