Hawkins D.Identification of outliers[M].London:Chapman and Hall,1980.
[2]
Shekhar S,Lu C T,Zhang P.A unified approach to detecting spatial outliers[J].GeoInformatica,2003,7(2):139~166.
[3]
Knorr E M,Ng R T.A unified notion of outliers:properties and computation[A].In:Proceedings of the International Conference on Knowledge Discovery and Data Mining(KDD)[C],Newport Beach,CA,USA,1997:219~222.
[4]
Knorr E M,Ng R T.Algorithms for mining distance-based outliers in large datasets[A].In:Proceedings of 24th Very Large Data Bases(VLDB) Conference[C],New York,USA,1998:392~403.
[5]
Ramaswamy S,Rastogi R,Kyuseok S.Efficient algorithms for mining outliers from large data sets[A].In:Proceedings of the ACM International Conference on Management of Data(SIGMOD)\'00[C],Dallas,Texas,USA,2000:93~104.
[6]
Arning A,Agrawal R,Raghavan P.A linear method for deviation detection in large databases[A].In:Proceedings of Conference on Knowledge Discovery and Data Mining(KDD)\'96[C],Portland OR,USA,1996:164~169.
[7]
Breunig M M,Kriegel H P,Ng R T,et al.LOF:Identifying density-based local outliers[A].In:Proceedings of the ACM International Conference on Management of Data(SIGMOD)\'00[C],Dallas,Texas,USA,2000:427~438.
[8]
Ruts I,Rousseeuw P.Computing depth contours of bivariate point clouds[J].Computational Statistics and Data Analysis,1996,23(1):153~168.
[9]
Guha S,Rastogi R,Kyuseok S.ROCK:A robust clustering algorithm for categorical attributes[A].In:Proceedings of 15th International Conference on Data Engineering[C],Sydney,Australia,1999:512~521.
[10]
He Zeng-you,Xu Xiao-fei,Huang Joshua-zhexue,et al.Mining class outliers:concepts,algorithms and applications in CRM[J].Expert Systems with Applications,2004,27(4):681~697.
[11]
Hu Tian-ming,Sung Sam-Y.Detecting pattern-based outliers[J].Pattern Recongition Letters,2003,24(16):3059~3068.
[12]
Haslett J,Brandley R,Craig P,et al.Dynamic graphics for exploring spatial data with application to locating global and local anomalies[J].The American Statistician,1991,(45):234~242.
[13]
更多...
[14]
Haining R.Spatial Data Analysis in the Social and Environmental Sciences[M].Cambridge,UK:Cambridge University Press,1993.
[15]
Luc A.Exploratory Spatial Data Analysis and Geographic Information Systems[A].In:Painho M,editor:New Tools for Spatial Analysis[M],Lisbon,Portugal:ISEGI,EUROSTAT,1994:45~54.
[16]
Beckmann N,Kriegel H-P,Schneider R,et al.The R*-Tree:an efficient and robust access method for points and rectangles[J].SIGMOD Record,1990,19(2):322~331.
[17]
Sander J,Ester E M,Kriegel H,et al.Density-based clustering in spatial databases:the algorithm GDBSCAN and its applications[J].Data Mining and Knowledge Discovery,1998,2(2):169~194.
[18]
Dai H,Srikant R,Zhang C.OBE:Outlier by example[A].In:Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD)[C],Sydney,Australia,2004:222~234.
[19]
Lu C T,Chen D,Kou Y.Algorithms for spatial outlier detection[A].In:Proceedings of the 3rd IEEE International Conference on Data Mining(ICDM)[C],Melbourne,Florida,USA,2003:597~600.
Ester M,Kriegel H P,Sander J,et al.A densitybased algorithm for discovering clusters in large spatial databases[A].In:Proceedings of Conference on Knowledge Discovery and Data Mining(KDD)\'96[C],Portland OR,USA,1996:226~231.
[22]
Nanopoulos A,Theodoridis Y,Manolopoulos Y.C2P:Clustering based on closest pairs[A].In:Proceedings of Very Large Data Bases(VLDB)\'01[C],Rome Italy,2001:331~340.
[23]
He Zeng-you,Xu Xiao-fei,Deng S.Discovering cluster-based local outliers[J].Pattern Recognition Letters,2003,24(9~10):1642~1650.
[24]
Aggarwal C,Yu P.Outlier detection for high dimensional data[A].In:Proceedings of the ACM SIGMOD\'01 Internation Conference on Management of Data[C],Santa Barbara,CA,USA,2001:37~46.
[25]
Panatier Y.Variowin,software for spatial data analysis in 2D[M].New York:Springer-Verlag,1996.
[26]
Luc A.Local indicators of spatial association:LISA[J].Geographical Analysis,1995,27(2):93~115.
[27]
Katayama N,Satoh S.The SR-tree:an index structure for high-dimensional nearest neighbor queries[J].SIGMOD Record,1997,26(2):369~380.