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[BO04] Baxevanis, A.; Ouellette, B.F.F., Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins. 3rd ed. (2004) John Wiley & Sons .

[BP92] Bezdek, J.C.; Pal, S.K., Fuzzy Models for Pattern Recognition: Methods That Search for Structures in Data. (1992) IEEE Press .

[BP98] Brin, S.; Page, L., The anatomy of a large-scale hypertextual web search engine, In: Proc. 7th Int. World Wide Web Conf. (WWW’98) Brisbane, Australia. (Apr. 1998), pp. 107–117.

[BPT97] Baralis, E.; Paraboschi, S.; Teniente, E., Materialized view selection in a multidimensional database, In: Proc. 1997 Int. Conf. Very Large Data Bases (VLDB’97) Athens, Greece. (Aug. 1997); pp. 98–12.

[BPW88] Bareiss, E.R.; Porter, B.W.; Weir, C.C., Protos: An exemplar-based learning apprentice, Int. J. Man-Machine Studies 29 (1988) 549–561.

[BR99] Beyer, K.; Ramakrishnan, R., Bottom-up computation of sparse and iceberg cubes, In: Proc. 1999 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD’99) Philadelphia, PA. (June 1999), pp. 359–370.

[Bre96] Breiman, L., Bagging predictors, Machine Learning 24 (1996) 123–140.

[Bre01] Breiman, L., Random forests, Machine Learning 45 (2001) 5–32.

[BS97] Barbará, D.; Sullivan, M., Quasi-cubes: Exploiting approximation in multidimensional databases, SIGMOD Record 26 (1997) 12–17.

[BS03] Bay, S.D.; Schwabacher, M., Mining distance-based outliers in near linear time with randomization and a simple pruning rule, In: Proc. 2003 ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD’03) Washington, DC. (Aug. 2003), pp. 29–38.

[BST99] Berson, A.; Smith, S.J.; Thearling, K., Building Data Mining Applications for CRM. (1999) McGraw-Hill .

[BT99] Ballou, D.P.; Tayi, G.K., Enhancing data quality in data warehouse environments, Communications of the ACM 42 (1999) 73–78.

[BU95] Brodley, C.E.; Utgoff, P.E., Multivariate decision trees, Machine Learning 19 (1995) 45–77.

[Bun94] Buntine, W.L., Operations for learning with graphical models, J. Artificial Intelligence Research 2 (1994) 159–225.

[Bur98] Burges, C.J.C., A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery 2 (1998) 121–168.

[BW00] Barbará, D.; Wu, X., Using loglinear models to compress datacubes, In: Proc. 1st Int. Conf. Web-Age Information Management (WAIM’00) Shanghai, China. (2000), pp. 311–322.

[BW01] Babu, S.; Widom, J., Continuous queries over data streams, SIGMOD Record 30 (2001) 109–120.

[BYRN11] Baeza-Yates, R.A.; Ribeiro-Neto, B.A., Modern Information Retrieval. 2nd ed. (2011) Addison-Wesley, Boston .

[Cat91]

[CBK09] Chandola, V.; Banerjee, A.; Kumar, V., Anomaly detection: A survey, ACM Computing Surveys 41 (2009) 1–58.

[CC00] Cheng, Y.; Church, G., Biclustering of expression data, In: Proc. 2000 Int. Conf. Intelligent Systems for Molecular Biology (ISMB’00) La Jolla, CA. (Aug. 2000), pp. 93–103.

[CCH91] Cai, Y.; Cercone, N.; Han, J., Attribute-oriented induction in relational databases, In: (Editors: Piatetsky-Shapiro, G.; Frawley, W.J.) Knowledge Discovery in Databases AAAI/MIT Press. (1991), pp. 213–228.

[CCLR05] Chen, B.-C.; Chen, L.; Lin, Y.; Ramakrishnan, R., Prediction cubes, In: Proc. 2005 Int. Conf. Very Large Data Bases (VLDB’05) Trondheim, Norway. (Aug. 2005), pp. 982–993.

[CCS93] Codd, E.F.; Codd, S.B.; Salley, C.T., Beyond decision support, Computer World 27 (30) (July 1993) 5–12.

[CD97] Chaudhuri, S.; Dayal, U., An overview of data warehousing and OLAP technology, SIGMOD Record 26 (1997) 65–74.

[CDH+02] Chen, Y.; Dong, G.; Han, J.; Wah, B.W.; Wang, J., Multidimensional regression analysis of time-series data streams, In: Proc. 2002 Int. Conf. Very Large Data Bases (VLDB’02) Hong Kong, China. (Aug. 2002), pp. 323–334.

[CDH+06] Chen, Y.; Dong, G.; Han, J.; Pei, J.; Wah, B.W.; Wang, J., Regression cubes with lossless compression and aggregation, IEEE Trans. Knowledge and Data Engineering 18 (2006) 1585–1599.

[CDI98] Chakrabarti, S.; Dom, B.E.; Indyk, P., Enhanced hypertext classification