{"id":"https://openalex.org/W2028571553","doi":"https://doi.org/10.1145/1141277.1141536","title":"Exploiting partial decision trees for feature subset selection in e-mail categorization","display_name":"Exploiting partial decision trees for feature subset selection in e-mail categorization","publication_year":2006,"publication_date":"2006-04-23","ids":{"openalex":"https://openalex.org/W2028571553","doi":"https://doi.org/10.1145/1141277.1141536","mag":"2028571553"},"language":"en","primary_location":{"id":"doi:10.1145/1141277.1141536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1141277.1141536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Applied computing","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/A5031746642","display_name":"Helmut Berger","orcid":"https://orcid.org/0000-0002-1726-0082"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Helmut Berger","raw_affiliation_strings":["iSpaces Group, Electronic Commerce, Wien, Austria"],"affiliations":[{"raw_affiliation_string":"iSpaces Group, Electronic Commerce, Wien, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060703938","display_name":"Dieter Merkl","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Dieter Merkl","raw_affiliation_strings":["Technische Universit\u00e4t Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009167696","display_name":"Michael Dittenbach","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Dittenbach","raw_affiliation_strings":["iSpaces Group, Electronic Commerce, Wien, Austria"],"affiliations":[{"raw_affiliation_string":"iSpaces Group, Electronic Commerce, Wien, Austria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031746642"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9036,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.79862703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1105","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9940999746322632,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9930999875068665,"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/feature-selection","display_name":"Feature selection","score":0.772821307182312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558033227920532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6429814696311951},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6406751275062561},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6096739172935486},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5983981490135193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.584480345249176},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.5497244000434875},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5218095779418945},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5202954411506653},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4798826277256012},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4729863405227661},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41552478075027466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4138167202472687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2416887879371643}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.772821307182312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558033227920532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6429814696311951},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6406751275062561},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6096739172935486},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5983981490135193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.584480345249176},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.5497244000434875},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5218095779418945},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5202954411506653},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4798826277256012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4729863405227661},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41552478075027466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4138167202472687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2416887879371643},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1141277.1141536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1141277.1141536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W79183852","https://openalex.org/W144665273","https://openalex.org/W1504694836","https://openalex.org/W1512098439","https://openalex.org/W1522764154","https://openalex.org/W1528113134","https://openalex.org/W1533946607","https://openalex.org/W1550206324","https://openalex.org/W1592212241","https://openalex.org/W1604938182","https://openalex.org/W1619226191","https://openalex.org/W1670263352","https://openalex.org/W2005422315","https://openalex.org/W2103333826","https://openalex.org/W2109676405","https://openalex.org/W2123504579","https://openalex.org/W2125055259","https://openalex.org/W2147169507","https://openalex.org/W3005526988","https://openalex.org/W4256238177"],"related_works":["https://openalex.org/W2371357422","https://openalex.org/W2111353337","https://openalex.org/W2372663604","https://openalex.org/W1482708182","https://openalex.org/W2367691850","https://openalex.org/W3023878085","https://openalex.org/W2391234281","https://openalex.org/W2372424341","https://openalex.org/W1504280915","https://openalex.org/W2375828317"],"abstract_inverted_index":{"In":[0,24],"this":[1],"paper":[2],"we":[3],"propose":[4],"PARTfs":[5,41],"which":[6],"adopts":[7],"a":[8,18,75,87],"supervised":[9],"machine":[10],"learning":[11],"algorithm,":[12],"namely":[13],"partial":[14],"decision":[15],"trees,":[16],"as":[17],"method":[19],"for":[20,45],"feature":[21,35,51,91],"subset":[22],"selection.":[23],"particular,":[25],"it":[26],"is":[27,56,98],"shown":[28],"that":[29,71,86],"an":[30],"aggressive":[31],"reduction":[32,88],"of":[33,79,89,96,102],"the":[34,90,94],"space":[36,92],"can":[37],"be":[38],"achieved":[39],"with":[40,49],"while":[42],"still":[43],"allowing":[44],"comparable":[46],"classification":[47,69,103],"results":[48,84],"conventional":[50],"selection":[52],"metrics.":[53],"The":[54,83],"approach":[55],"empirically":[57],"verified":[58],"by":[59],"employing":[60],"two":[61],"different":[62,67],"document":[63,76],"representations":[64],"and":[65],"four":[66],"text":[68],"algorithms":[70],"are":[72],"applied":[73],"to":[74],"collection":[77],"consisting":[78],"personal":[80],"e-mail":[81],"messages.":[82],"show":[85],"in":[93],"magnitude":[95],"ten":[97],"achievable":[99],"without":[100],"loss":[101],"accuracy.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"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"}
