Practical Approaches to the Many-Answer Problem - Advanced Database Query Systems - page 81

Miller, G. A. (1962). Information input overload. In M.C. Yovits, G.T. Jacobi, and G.D. Goldstein, (Eds.),
Conference on Self-Organizing Systems . Spartan Books.
Moshé, M. Z. (1975). Query-by-example: The invocation and definition of tables and forms. Proceedings
of the ACM SIGMOD international conference on Very Large Data Bases, (pp. 1-24).
Motro, A. (1986). Seave: A mechanism for verifying user presuppositions in query systems. ACM Trans-
actions on Information Systems , 4 (4), 312-330. doi:10.1145/9760.9762
Motro, A. (1988). Vague: A user interface to relational databases that permits vague queries. ACM
Transactions on Information Systems , 6 (3), 187-214. doi:10.1145/45945.48027
Muslea, I. (2004). Machine learning for online query relaxation. Proceedings of the International Con-
ference on Knowledge discovery and data mining, (pp. 246-255).
Muslea, I., & Lee, T. (2005). Online query relaxation via Bayesian causal structures discovery. Proceed-
ings of the National Conference on Artificial Intelligence, (pp. 831-836).
Nambiar, U. (2005). Answering imprecise queries over autonomous databases. Unpublished doctoral
dissertation, University of Arizona, USA.
Nambiar, U., & Kambhampati, S. (2003). Answering imprecise database queries: a novel approach.
Proceedings of the International Workshop on Web Information and Data Management, (pp. 126-133).
Nambiar, U., & Kambhampati, S. (2004). Mining approximate functional dependencies and concept
similarities to answer imprecise queries. Proceedings of the International Workshop on the Web and
Databases, (pp. 73-78).
Nepal, S., & Ramakrishna, M. V. (1999). Query processing issues in image (multimedia) databases.
Proceedings of the 15th International Conference on Data Engineering, (pp. 23-26).
Ng, A. Y., Zheng, A. X., & Jordan, M. I. (2001). Stable algorithms for link analysis. Proceedings of
the International ACM SIGIR Conference on Research and Development in Information Retrieval , (pp.
258-266).
Nielsen, J. (2003). Curmudgeon: IM, not IP (information pollution). ACM Queue; Tomorrow's Comput-
ing Today , 1 (8), 76-75. doi:10.1145/966712.966731
Quillian, M. R. (1968). Semantic memory. In Minsky, M. (Ed.), Semantic information processing (pp.
227-270). The MIT Press.
Raschia, G., & Mouaddib, N. (2002). SAINTETIQ: A fuzzy set-based approach to database summariza-
tion. Fuzzy Sets and Systems , 129 (2), 137-162. doi:10.1016/S0165-0114(01)00197-X
Robertson, S. E. (1997). The probability ranking principle in IR. Readings in Information Retrieval ,
281-286.Roussopoulos, N., Kelley, S. & Vincent, F. (2003). Nearest neighbor queries. Proceedings of
the ACM SIGMOD International Conference on Management of Data, (pp. 71-79).
Ruspini, E. (1969). A new approach to clustering. Information and Control , 15 , 22-32. doi:10.1016/
S0019-9958(69)90591-9