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Volumn 5181 LNCS, Issue , 2008, Pages 255-268

Detecting current outliers: Continuous outlier detection over time-series data streams

Author keywords

Data stream; DB Outlier; Outlier detection; Time series data

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; INFORMATION MANAGEMENT; MANAGEMENT INFORMATION SYSTEMS; RIVERS; SEARCH ENGINES; SENSORS; UBIQUITOUS COMPUTING;

EID: 52949130990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85654-2_26     Document Type: Conference Paper
Times cited : (15)

References (14)
  • 2
    • 0009900351 scopus 로고    scopus 로고
    • Anomaly Detection over Noisy Data using Learned Probability Distributions
    • Eskin, E.: Anomaly Detection over Noisy Data using Learned Probability Distributions. In: ICML, pp. 255-262 (2000)
    • (2000) ICML , pp. 255-262
    • Eskin, E.1
  • 3
    • 0012905555 scopus 로고    scopus 로고
    • Finding Intensional Knowledge of Distance-Based Outliers
    • Knorr, E.M., Ng, R.T.: Finding Intensional Knowledge of Distance-Based Outliers. In: VLDB, pp. 211-222 (1999)
    • (1999) VLDB , pp. 211-222
    • Knorr, E.M.1    Ng, R.T.2
  • 4
    • 0034133513 scopus 로고    scopus 로고
    • Distance-Based Outliers: Algorithms and Applications
    • Knorr, E.M., Ng, R.T., Tucakov, V.: Distance-Based Outliers: Algorithms and Applications. VLDB J. 8(3-4), 237-253 (2000)
    • (2000) VLDB J , vol.8 , Issue.3-4 , pp. 237-253
    • Knorr, E.M.1    Ng, R.T.2    Tucakov, V.3
  • 5
    • 0003136237 scopus 로고
    • Efficient and Effective Clustering Methods for Spatial Data Mining
    • Ng, R.T., Han, J.: Efficient and Effective Clustering Methods for Spatial Data Mining. In: VLDB, pp. 144-155 (1994)
    • (1994) VLDB , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 7
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An Efficient Data Clustering Method for Very Large Databases
    • Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: An Efficient Data Clustering Method for Very Large Databases. In: SIGMOD, pp. 103-114 (1996)
    • (1996) SIGMOD , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 8
    • 52949083457 scopus 로고    scopus 로고
    • Sheikholeslami, G., Chatterjee, S., Zhang, A.: WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. In: VLDB, pp. 428-439 (1998)
    • Sheikholeslami, G., Chatterjee, S., Zhang, A.: WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. In: VLDB, pp. 428-439 (1998)
  • 9
    • 0032090765 scopus 로고    scopus 로고
    • Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
    • Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. In: SIGMOD, pp. 94-105 (1998)
    • (1998) SIGMOD , pp. 94-105
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 10
    • 0039253819 scopus 로고    scopus 로고
    • Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: Identifying Density-Based Local Outliers. In: SIGMOD, pp. 93-104 (2000)
    • Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: Identifying Density-Based Local Outliers. In: SIGMOD, pp. 93-104 (2000)
  • 11
    • 38149027073 scopus 로고    scopus 로고
    • Su, L., Han, W., Yang, S., Zou, P., Jia, Y.: Continuous Adaptive Outlier Detection on Distributed Data Streams. In: HPCC, pp. 74-85 (2007)
    • Su, L., Han, W., Yang, S., Zou, P., Jia, Y.: Continuous Adaptive Outlier Detection on Distributed Data Streams. In: HPCC, pp. 74-85 (2007)
  • 12
    • 0034592923 scopus 로고    scopus 로고
    • Yamanishi, K., Takeuchi, J., Williams, G., Milne, P.: On-line Unsupervised Outlier Detection using Finite Mixtures with Discounting Learning Algorithms. In: KDD, pp. 320-324 (2000)
    • Yamanishi, K., Takeuchi, J., Williams, G., Milne, P.: On-line Unsupervised Outlier Detection using Finite Mixtures with Discounting Learning Algorithms. In: KDD, pp. 320-324 (2000)
  • 13
    • 0035788911 scopus 로고    scopus 로고
    • Yamanishi, K., Takeuchi, J.: Discovering Outlier Filtering Rules from Unlabeled Data: Combining a Supervised Learner with an Unsupervised Learner. In: KDD, pp. 389-394 (2001)
    • Yamanishi, K., Takeuchi, J.: Discovering Outlier Filtering Rules from Unlabeled Data: Combining a Supervised Learner with an Unsupervised Learner. In: KDD, pp. 389-394 (2001)
  • 14
    • 52949134726 scopus 로고    scopus 로고
    • ITicker, http://homepage1.nifty.com/hdatelier/
    • ITicker


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.