Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005

Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005

ID:40103322

大小:1.77 MB

页数:243页

时间:2019-07-21

Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005_第1页
Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005_第2页
Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005_第3页
Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005_第4页
Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005_第5页
资源描述:

《Text Mining - Predictive Methods for Analyzing Unstructured Information,Weiss ,2005》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、TextMiningSholomM.WeissNitinIndurkhyaTongZhangFredJ.DamerauTextMiningPredictiveMethodsforAnalyzingUnstructuredInformation~SpringerSholomM.WeissNitinIndurkhyaIBMResearchSchoolofComputerScienceandEngineeringTJWatsonLabsUniversityofNewSouthWalesYorktownHeights)NY1

2、0598Sydney)NSW2052USAAustraliasholom@us.ibm.comnitin@data-miner.comTongZhangFredJ.DamerauIBMResearchIBMResearchTJWatsonLabsTJWatsonLabsYorktownHeights)NY10598YorktownHeights)NY10598USAUSAtongz@us.ibm.comdamerau@sbcglobal.netISBN0-387-95433-3Printedonacid-freepa

3、per.©2005SpringerScience+BusinessMedia)Inc.Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewrittenpermissionofthepublisher(SpringerScience+BusinessMedia)Inc.,233SpringStreet)NewYork)NY10013)USA))exceptforbriefexcerptsincon-nectionwi

4、threviewsorscholarlyanalysis.Useinconnectionwithanyformofinfor-mationstorageandretrieval)electronicadaptation)computersoftware)orbysimilarordissimilarmethodologynowknownorhereafterdevelopedisforbidden.Theuseinthispublicationoftradenames)trademarks)servicemarks)

5、andsimilarterms)eveniftheyarenotidentifiedassuch)isnottobetakenasanexpressionofopinionastowhetherornottheyaresubjecttoproprietaryrights.PrintedintheUnitedStatesofAmerica.(MP)987654321SPIN10864579springeronline.comPrefaceDataminingisamaturetechnology.Thepredicti

6、onproblem,lookingforpredictivepatternsindata,hasbeenwidelystudied.Strongmeth-odsareavailabletothepractitioner.Thesemethodsprocessstructurednumericalinformation,whereuniformmeasurementsaretakenoverasampleofdata.Textisoftendescribedasunstructuredinformation.So,it

7、wouldseem,textandnumericaldataaredifferent,requiringdifferentmethods.Orarethey?Inourview,apredictionproblemcanbesolvedbythesamemethods,whetherthedataarestructurednu-mericalmeasurementsorunstructuredtext.Textanddocumentscanbetransformedintomeasuredvalues,suchast

8、hepresenceorabsenceofwords,andthesamemethodsthathaveprovensuccessfulforpredic-tivedataminingcanbeappliedtotext.Yet,therearekeydifferences.Evaluationtechniquesmustbeadaptedto

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。