{"id":"https://openalex.org/W2042543512","doi":"https://doi.org/10.1109/dbta.2010.5659004","title":"Data Reduction for Network Forensics Using Manifold Learning","display_name":"Data Reduction for Network Forensics Using Manifold Learning","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2042543512","doi":"https://doi.org/10.1109/dbta.2010.5659004","mag":"2042543512"},"language":"en","primary_location":{"id":"doi:10.1109/dbta.2010.5659004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","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/A5024540054","display_name":"Tao Peng","orcid":"https://orcid.org/0000-0003-1085-7246"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Peng","raw_affiliation_strings":["School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110080125","display_name":"Xiaosu Che","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosu Che","raw_affiliation_strings":["School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014441072","display_name":"Huiyu Liu","orcid":"https://orcid.org/0000-0002-2984-2223"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyu Liu","raw_affiliation_strings":["School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078467158","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0001-9520-4273"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024540054"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10503796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.996399998664856,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9921000003814697,"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/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.8406620621681213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7387099266052246},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7144712209701538},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.5625060200691223},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4996938705444336},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.49414852261543274},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.47810906171798706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47042059898376465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4409574866294861},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4265476167201996},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42428338527679443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3680804669857025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3632696270942688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10974335670471191},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08945754170417786}],"concepts":[{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.8406620621681213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387099266052246},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7144712209701538},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.5625060200691223},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4996938705444336},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49414852261543274},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.47810906171798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47042059898376465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4409574866294861},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4265476167201996},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42428338527679443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3680804669857025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3632696270942688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10974335670471191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08945754170417786},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dbta.2010.5659004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","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":10,"referenced_works":["https://openalex.org/W1884606608","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2059682003","https://openalex.org/W2077776048","https://openalex.org/W2097308346","https://openalex.org/W2277504646","https://openalex.org/W2352587688","https://openalex.org/W6639223989","https://openalex.org/W6705984860"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W2166963679","https://openalex.org/W2573981081","https://openalex.org/W3088634662","https://openalex.org/W2383239174","https://openalex.org/W2346141776","https://openalex.org/W2515193852","https://openalex.org/W2054704569","https://openalex.org/W2138621090","https://openalex.org/W4380028844"],"abstract_inverted_index":{"In":[0,36,84],"network":[1],"forensic":[2,90],"system,":[3],"there":[4],"are":[5,68],"huge":[6],"amount":[7],"of":[8,47,76,99],"data":[9,15,46,78,91],"should":[10],"be":[11],"processed,":[12],"and":[13,18,24,95],"the":[14,45,48,71,74,89,97,100],"contains":[16],"redundant":[17],"noisy":[19],"features":[20],"causing":[21],"slow":[22],"training":[23],"testing":[25],"process,":[26],"high":[27],"resource":[28],"consumption":[29],"as":[30,32],"well":[31],"poor":[33],"detection":[34],"rate.":[35],"this":[37,66,85],"paper,":[38,86],"a":[39,56],"schema":[40],"is":[41,55,80],"proposed":[42],"to":[43,60],"reduce":[44,88],"forensics":[49],"using":[50],"manifold":[51,93],"learning.":[52],"Manifold":[53],"learning":[54],"popular":[57],"recent":[58],"approach":[59],"nonlinear":[61],"dimensionality":[62,75],"reduction.":[63],"Algorithms":[64],"for":[65],"task":[67],"based":[69],"on":[70],"idea":[72],"that":[73],"many":[77],"sets":[79],"only":[81],"artificially":[82],"high.":[83],"we":[87],"with":[92],"learning,":[94],"test":[96],"result":[98],"reduced":[101],"data.":[102]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}