From the Publisher:
Knowledge Discovery in Databases brings together current research on the exciting problem of discovering useful and interesting knowledge in databases. It spans many different approaches to discovery, including inductive learning, bayesian statistics, semantic query optimization, knowledge acquisition for expert systems, information theory, and fuzzy 1 sets.
The rapid growth in the number and size of databases creates a need for tools and techniques for intelligent data understanding. Relationships and patterns in data may enable a manufacturer to discover the cause of a persistent disk failure or the reason for consumer complaints. But today's databases hide their secrets beneath a cover of overwhelming detail. The task of uncovering these secrets is called "discovery in databases." This loosely defined subfield of machine learning is concerned with discovery from large amounts of possible uncertain data. Its techniques range from statistics to the use of domain knowledge to control search.
Following an overview of knowledge discovery in databases, thirty technical chapters are grouped in seven parts which cover discovery of quantitative laws, discovery of qualitative laws, using knowledge in discovery, data summarization, domain specific discovery methods, integrated and multi-paradigm systems, and methodology and application issues. An important thread running through the collection is reliance on domain knowledge, starting with general methods and progressing to specialized methods where domain knowledge is built in.
Gregory Piatetski-Shapiro is Senior Member of Technical Staff and Principal Investigator of the Knowledge Discovery Project at GTELaboratories. William Frawley is Principal Member of Technical Staff at GTE and Principal Investigator of the Learning in Expert Domains Project.
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- Molina-Coronado B, Mori U, Mendiburu A and Miguel-Alonso J (2020). Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process, IEEE Transactions on Network and Service Management, 17:4, (2451-2479), Online publication date: 1-Dec-2020.
- Kato Y and Saeki T New Rule Induction Method by Use of a Co-occurrence Set from the Decision Table Rules and Reasoning, (54-69)
- Sahâ S, Sarkar D and Kramer S Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles 2019 IEEE Congress on Evolutionary Computation (CEC), (2753-2760)
- Ceneda D, Gschwandtner T, May T, Miksch S, Streit M and Tominski C Guidance or no guidance? Proceedings of the EuroVis Workshop on Visual Analytics, (19-23)
- Zong N, Kim H and Nam S (2017). Constructing faceted taxonomy for heterogeneous entities based on object properties in linked data, Data & Knowledge Engineering, 112:C, (79-93), Online publication date: 1-Nov-2017.
- Liu Y and Stouffs R Energy performance of residential buildings at district level from data perspective Proceedings of the Symposium on Simulation for Architecture and Urban Design, (1-8)
- Khader N, Lashier A and Yoon S (2016). Pharmacy robotic dispensing and planogram analysis using association rule mining with prescription data, Expert Systems with Applications: An International Journal, 57:C, (296-310), Online publication date: 15-Sep-2016.
- Khedr A, Idrees A and El Seddawy A (2016). Enhancing Iterative Dichotomiser 3 algorithm for classification decision tree, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 6:2, (70-79), Online publication date: 1-Mar-2016.
- Mata F and Claramunt C A social navigation guide using augmented reality Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (541-544)
- Luo C, Lou J, Lin Q, Fu Q, Ding R, Zhang D and Wang Z Correlating events with time series for incident diagnosis Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, (1583-1592)
- Anderson P, Bowring J, McCauley R, Pothering G and Starr C An undergraduate degree in data science Proceedings of the 45th ACM technical symposium on Computer science education, (145-150)
- Dhar V (2013). Data science and prediction, Communications of the ACM, 56:12, (64-73), Online publication date: 1-Dec-2013.
- Otero F and Freitas A Improving the interpretability of classification rules discovered by an ant colony algorithm Proceedings of the 15th annual conference on Genetic and evolutionary computation, (73-80)
- Huang T (2013). Discovery of fuzzy quantitative sequential patterns with multiple minimum supports and adjustable membership functions, Information Sciences: an International Journal, 222, (126-146), Online publication date: 1-Feb-2013.
- Tsimpiris A and Kugiumtzis D (2012). Feature selection for classification of oscillating time series, Expert Systems: The Journal of Knowledge Engineering, 29:5, (456-477), Online publication date: 1-Nov-2012.
- Davey J, Mansmann F, Kohlhammer J and Keim D Visual analytics The Future Internet, (93-104)
- Stiglic G Human disease network guided discovery of interesting itemsets in hospital discharge data Proceedings of the 2011 workshop on Data mining for medicine and healthcare, (76-79)
- Unold O Diagnosis of cardiac arrhythmia using fuzzy immune approach Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II, (265-274)
- Vorobieva O and Schmidt R (2010). Case-Based Reasoning to explain medical model exceptions, International Journal of Advanced Intelligence Paradigms, 2:2/3, (271-282), Online publication date: 1-Dec-2010.
- Hu Y, Huang T, Yang H and Chen Y (2009). On mining multi-time-interval sequential patterns, Data & Knowledge Engineering, 68:10, (1112-1127), Online publication date: 1-Oct-2009.
- Apostolico A and Satta G (2009). Discovering subword associations in strings in time linear in the output size, Journal of Discrete Algorithms, 7:2, (227-238), Online publication date: 1-Jun-2009.
- Novák V, Perfilieva I, Dvořák A, Chen G, Wei Q and Yan P (2008). Mining pure linguistic associations from numerical data, International Journal of Approximate Reasoning, 48:1, (4-22), Online publication date: 1-Apr-2008.
- Perfilieva I, Novák V and Dvořák A (2008). Fuzzy transform in the analysis of data, International Journal of Approximate Reasoning, 48:1, (36-46), Online publication date: 1-Apr-2008.
- Marbán Ó, Mariscal G, Menasalvas E and Segovia J An engineering approach to data mining projects Proceedings of the 8th international conference on Intelligent data engineering and automated learning, (578-588)
- Agier M, Petit J and Suzuki E (2007). Unifying Framework for Rule Semantics: Application to Gene Expression Data, Fundamenta Informaticae, 78:4, (543-559), Online publication date: 1-Dec-2007.
- Agier M, Petit J and Suzuki E (2007). Unifying Framework for Rule Semantics: Application to Gene Expression Data, Fundamenta Informaticae, 78:4, (543-559), Online publication date: 1-Dec-2007.
- Chang C and Chu F Applying data mining and XML technology to build a web-based house trading and matching system Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization, (110-115)
- Aguilar J An evolutionary data clustering algorithm Proceedings of the 11th WSEAS International Conference on Computers, (7-12)
- Wu S and Chen Y (2007). Mining Nonambiguous Temporal Patterns for Interval-Based Events, IEEE Transactions on Knowledge and Data Engineering, 19:6, (742-758), Online publication date: 1-Jun-2007.
- Chen Y and Hu Y (2006). Constraint-based sequential pattern mining, Decision Support Systems, 42:2, (1203-1215), Online publication date: 1-Nov-2006.
- Kaur H, Wasan S, Al-Hegami A and Bhatnagar V A unified approach for discovery of interesting association rules in medical databases Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining, (53-63)
- Melli G, Zaïane O and Kitts B (2006). Introduction to the special issue on successful real-world data mining applications, ACM SIGKDD Explorations Newsletter, 8:1, (1-2), Online publication date: 1-Jun-2006.
- Tezuka T, Kurashima T and Tanaka K Toward tighter integration of web search with a geographic information system Proceedings of the 15th international conference on World Wide Web, (277-286)
- Monedero Í, Biscarri F, León C, Biscarri J and Millán R MIDAS Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V, (725-734)
- Farzanyar Z, Kangavari M and Hashemi S Effect of similar behaving attributes in mining of fuzzy association rules in the large databases Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I, (1100-1109)
- Dey L, Ahmad A and Kumar S Finding interesting rules exploiting rough memberships Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (732-737)
- Duru N An application of apriori algorithm on a diabetic database Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I, (398-404)
- Hu F, Wang G, Huang H and Wu Y Incremental attribute reduction based on elementary sets Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (185-193)
- Rodrigues J, Traina A and Traina C Visualization tree, multiple linked analytical decisions Proceedings of the 5th international conference on Smart Graphics, (65-76)
- He Y, Geng Z and Liang X An approach to mining local causal relationships from databases Proceedings of the First international conference on Advanced Data Mining and Applications, (51-58)
- Mamčenko J and Kulvietiene R Data mining technique for collaborative server log file analysis Proceedings of the 9th WSEAS International Conference on Communications, (1-5)
- Brumen B, Welzer T, Družovec M, Golob I, Jaakkola H, Rozman I and Kubalik J (2005). Protecting medical data for decision-making analyses, Journal of Medical Systems, 29:1, (65-80), Online publication date: 1-Feb-2005.
- Singh K and Balakrishnan R Visualizing 3D scenes using non-linear projections and data mining of previous camera movements Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa, (41-48)
- Zhang H, Padmanabhan B and Tuzhilin A On the discovery of significant statistical quantitative rules Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, (374-383)
- Ghosh A and Nath B (2004). Multi-objective rule mining using genetic algorithms, Information Sciences: an International Journal, 163:1-3, (123-133), Online publication date: 14-Jun-2004.
- Maji P, Shaw C, Ganguly N, Sikdar B and Chaudhuri P (2003). Theory and Application of Cellular Automata For Pattern Classification, Fundamenta Informaticae, 58:3-4, (321-354), Online publication date: 1-Aug-2003.
- Ivkovic S, Yearwood J and Stranieri A Visualizing association rules for feedback within the legal system Proceedings of the 9th international conference on Artificial intelligence and law, (214-223)
- Elazmeh W Search bound strategies for rule mining by iterative deepening Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence, (479-485)
- Xie Y and Raghavan V A theoretical framework for knowledge discovery in databases based on probabilistic logic Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (541-548)
- Maji P, Shaw C, Ganguly N, Sikdar B and Chaudhuri P (2003). Theory and application of cellular automata for pattern classification, Fundamenta Informaticae, 58:3-4, (321-354), Online publication date: 1-May-2003.
- Takamitsu T, Miura T and Shioya I Decision trees using class hierarchy Design and application of hybrid intelligent systems, (722-731)
- Popovic Z Knowledge extraction from construction cost databases using fuzzy queries Design and application of hybrid intelligent systems, (712-721)
- Berthold M and Hand D References Intelligent data analysis, (475-500)
- Zhang S and Liu L (2003). Mining dynamic databases by weighting, Acta Cybernetica, 16:1, (179-205), Online publication date: 1-Jan-2003.
- Zhang S and Zhang C (2003). Discovering associations in very large databases by approximating, Acta Cybernetica, 16:1, (155-177), Online publication date: 1-Jan-2003.
- Shekhar S, Lu C and Zhang P (2002). Detecting graph-based spatial outliers, Intelligent Data Analysis, 6:5, (451-468), Online publication date: 1-Oct-2002.
- Ng R and Han J (2002). CLARANS, IEEE Transactions on Knowledge and Data Engineering, 14:5, (1003-1016), Online publication date: 1-Sep-2002.
- Tan P, Kumar V and Srivastava J Selecting the right interestingness measure for association patterns Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, (32-41)
- Lin D and Kedem Z (2002). Pincer-Search, IEEE Transactions on Knowledge and Data Engineering, 14:3, (553-566), Online publication date: 1-May-2002.
- Vrahatis M, Boutsinas B, Alevizos P and Pavlides G (2002). The New k-Windows Algorithm for Improving thek -Means Clustering Algorithm, Journal of Complexity, 18:1, (375-391), Online publication date: 1-Mar-2002.
- Apostolico A and Crochemore M String pattern matching for a deluge survival kit Handbook of massive data sets, (151-194)
- Ziarko W Data mining tasks and methods: Rule discovery Handbook of data mining and knowledge discovery, (328-339)
- Klösgen W and Zytkow J Knowledge discovery in databases Handbook of data mining and knowledge discovery, (1-9)
- Aggarwal C and Yu P (2001). Mining Associations with the Collective Strength Approach, IEEE Transactions on Knowledge and Data Engineering, 13:6, (863-873), Online publication date: 1-Nov-2001.
- Fayyad U Knowledge discovery in databases Relational Data Mining, (28-45)
- Dězeroski S Data mining in a nutshell Relational Data Mining, (3-27)
- Miura T and Shioya I Assessment by belief Proceedings of the 12th Australasian database conference, (131-137)
- Böhm C, Braunmüller B, Breunig M and Kriegel H High performance clustering based on the similarity join Proceedings of the ninth international conference on Information and knowledge management, (298-305)
- Gyenesei A Mining Weighted Association Rules for Fuzzy Quantitative Items Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery, (416-423)
- King R, Karwath A, Clare A and Dephaspe L Genome scale prediction of protein functional class from sequence using data mining Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, (384-389)
- Michail A Data mining library reuse patterns using generalized association rules Proceedings of the 22nd international conference on Software engineering, (167-176)
- Jurisica I, Glasgow J and Mylopoulos J (2000). Incremental Iterative Retrieval and Browsingfor Efficient Conversational CBR Systems, Applied Intelligence, 12:3, (251-268), Online publication date: 1-May-2000.
- Galindo J and Tamayo P (2000). Credit Risk Assessment Using Statistical and MachineLearning, Computational Economics, 15:1-2, (107-143), Online publication date: 1-Apr-2000.
- Yoon S, Henschen L, Park E and Makki S Using domain knowledge in knowledge discovery Proceedings of the eighth international conference on Information and knowledge management, (243-250)
- Liu X (1999). Progress in Intelligent Data Analysis, Applied Intelligence, 11:3, (235-240), Online publication date: 1-Nov-1999.
- Abraham T and Roddick J (1999). Survey of Spatio-Temporal Databases, Geoinformatica, 3:1, (61-99), Online publication date: 1-Mar-1999.
- Morzy T and Zakrzewicz M Group bitmap index Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, (284-288)
- O'Leary D (1998). Guest Editor's Introduction, IEEE Intelligent Systems, 13:3, (30-33), Online publication date: 1-May-1998.
- O'Leary D (1998). Enterprise Knowledge Management, Computer, 31:3, (54-61), Online publication date: 1-Mar-1998.
- Silverstein C, Brin S and Motwani R (1998). Beyond Market Baskets, Data Mining and Knowledge Discovery, 2:1, (39-68), Online publication date: 31-Jan-1998.
- Kumar A (1998). New Techniques for Data Reduction in a Database System for Knowledge Discovery Applications, Journal of Intelligent Information Systems, 10:1, (31-48), Online publication date: 1-Jan-1998.
- Han J, Chiang J, Chee S, Chen J, Chen Q, Cheng S, Gong W, Kamber M, Koperski K, Liu G, Lu Y, Stefanovic N, Winstone L, Xia B, Zaiane O, Zhang S and Zhu H DBMiner Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
- Fayyad U Data Mining and Knowledge Discovery in Databases Proceedings of the Ninth International Conference on Scientific and Statistical Database Management, (2-11)
- Goldman J, Parker D and Chu W Knowledge Discovery in an Earthquake Text Database Proceedings of the Ninth International Conference on Scientific and Statistical Database Management, (12-21)
- Kapetanios E and Norrie M Data Mining and Modeling in Scientific Databases Proceedings of the Ninth International Conference on Scientific and Statistical Database Management, (24-27)
- Zeleznikow J and Stranieri A Knowledge discovery in the Split Up project Proceedings of the 6th international conference on Artificial intelligence and law, (89-97)
- Zaïane O, Fall A, Rochefort S, Dahl V and Tarau P On-line resource discovery using natural language Computer-Assisted Information Searching on Internet, (336-355)
- Brin S, Motwani R and Silverstein C (1997). Beyond market baskets, ACM SIGMOD Record, 26:2, (265-276), Online publication date: 1-Jun-1997.
- Brin S, Motwani R and Silverstein C Beyond market baskets Proceedings of the 1997 ACM SIGMOD international conference on Management of data, (265-276)
- Ramanathan S and Hodges J (1997). Extraction of object-oriented structures from existing relational databases, ACM SIGMOD Record, 26:1, (59-64), Online publication date: 1-Mar-1997.
- Chan K and Au W Mining fuzzy association rules Proceedings of the sixth international conference on Information and knowledge management, (209-215)
- Yoon S, Song I and Park E Intensional query processing using data mining approaches Proceedings of the sixth international conference on Information and knowledge management, (201-208)
- Ng R (1997). Semantics, Consistency, and Query Processing of Empirical Deductive Databases, IEEE Transactions on Knowledge and Data Engineering, 9:1, (32-49), Online publication date: 1-Jan-1997.
- Fayyad U (1997). Editorial, Data Mining and Knowledge Discovery, 1:1, (5-10), Online publication date: 1-Jan-1997.
- Cheung D, Ng V, Fu A and Fu Y (1996). Efficient Mining of Association Rules in Distributed Databases, IEEE Transactions on Knowledge and Data Engineering, 8:6, (911-922), Online publication date: 1-Dec-1996.
- Chen M, Han J and Yu P (1996). Data Mining, IEEE Transactions on Knowledge and Data Engineering, 8:6, (866-883), Online publication date: 1-Dec-1996.
- Fortin S and Liu L An object-oriented approach to multi-level association rule mining Proceedings of the fifth international conference on Information and knowledge management, (65-72)
- Fayyad U (1996). Data Mining and Knowledge Discovery, IEEE Expert: Intelligent Systems and Their Applications, 11:5, (20-25), Online publication date: 1-Oct-1996.
- Fayyad U Data mining and knowledge discovery in databases Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2, (1590-1592)
- Ryu T and Eick C Deriving queries from results using genetic programming Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (303-306)
- Shan N, Ziarko W, Hamilton H and Cercone N Discovering classification knowledge in databases using rough sets Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (271-274)
- Imielinski T, Virmani A and Abdulghani A DataMine Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (256-261)
- Han J, Fu Y, Wang W, Chiang J, Gong W, Koperski K, Li D, Lu Y, Rajan A, Stefanovic N, Xia B and Zaiane O DBMiner Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (250-255)
- Agrawal R, Mehta M, Shafer J, Srikant R, Arning A and Bollinger T The Quest Data mining System Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (244-249)
- Masand B and Piatetsky-Shapiro G A comparison of approaches for maximizing business payoff of prediction models Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (195-201)
- Wirth R and Reinartz T Detecting early indicator cars in an automotive database Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (76-81)
- Wang J, Shapiro B, Shasha D, Zhang K and Chang C Automated discovery of active motifs in multiple RNA secondary structures Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (70-75)
- Ciesielski V and Palstra G Using a hybrid neural/expert system for data base mining in market survey data Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (38-43)
- Ryu T and Eick C MASSON Proceedings of the 1st annual conference on genetic programming, (200-208)
- Selfridge P, Srivastava D and Wilson L (1996). IDEA, ACM SIGMOD Record, 25:2, (24-34), Online publication date: 1-Jun-1996.
- Fukuda T, Morimoto Y, Morishita S and Tokuyama T (1996). Data mining using two-dimensional optimized association rules, ACM SIGMOD Record, 25:2, (13-23), Online publication date: 1-Jun-1996.
- Srikant R and Agrawal R (1996). Mining quantitative association rules in large relational tables, ACM SIGMOD Record, 25:2, (1-12), Online publication date: 1-Jun-1996.
- Selfridge P, Srivastava D and Wilson L IDEA Proceedings of the 1996 ACM SIGMOD international conference on Management of data, (24-34)
- Fukuda T, Morimoto Y, Morishita S and Tokuyama T Data mining using two-dimensional optimized association rules Proceedings of the 1996 ACM SIGMOD international conference on Management of data, (13-23)
- Srikant R and Agrawal R Mining quantitative association rules in large relational tables Proceedings of the 1996 ACM SIGMOD international conference on Management of data, (1-12)
- Marks D (1996). Inference in MLS Database Systems, IEEE Transactions on Knowledge and Data Engineering, 8:1, (46-55), Online publication date: 1-Feb-1996.
- Anand S, Bell D and Hughes J The role of domain knowledge in data mining Proceedings of the fourth international conference on Information and knowledge management, (37-43)
- Han J Mining knowledge at multiple concept levels Proceedings of the fourth international conference on Information and knowledge management, (19-24)
- Wong M and Leung K (1995). Inducing Logic Programs With Genetic Algorithms, IEEE Expert: Intelligent Systems and Their Applications, 10:5, (68-76), Online publication date: 1-Oct-1995.
- Zhong N and Ohsuga S Toward a multi-strategy and cooperative discovery system Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (337-342)
- Zaïane O and Han J Resource and knowledge discovery in global information systems Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (331-336)
- Shan N, Ziarko W, Hamilton H and Cercone N Using rough sets as tools for knowledge discovery Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (263-268)
- Pfahringer B and Kramer S Compression-based evaluation of partial determinations Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (234-239)
- Ketterlin A, Gançarski P and Korczak J Conceptual clustering in structured databases Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (180-185)
- Hwang H and Fu W Efficient algorithms for attribute-oriented induction Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (168-173)
- Dao S and Perry B Applying a data miner to heterogeneous schema integration Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (63-68)
- Agrawal R and Psaila G Active data mining Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (3-8)
- Han J, Fu Y and Tang S Advances of the DBLearn system for knowledge discovery in large databases Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2, (2049-2050)
- Hou W and Zhang Z Enhancing database correctness Proceedings of the 1995 ACM SIGMOD international conference on Management of data, (223-232)
- Wolff J (1995). Computing as compression: SP20, New Generation Computing, 13:2, (215-241), Online publication date: 1-Jun-1995.
- Hou W and Zhang Z (1995). Enhancing database correctness, ACM SIGMOD Record, 24:2, (223-232), Online publication date: 22-May-1995.
- Rose J and Gasteiger J Hierarchical classification as an aid to database and hit-list browsing Proceedings of the third international conference on Information and knowledge management, (408-414)
- Klemettinen M, Mannila H, Ronkainen P, Toivonen H and Verkamo A Finding interesting rules from large sets of discovered association rules Proceedings of the third international conference on Information and knowledge management, (401-407)
- Gadbois D and Miranker D Discovering procedural executions of rule-based programs Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (459-464)
- Matheus C, Piatetsky-Shapiro G and McNeill D An application of KEFIR to the analysis of healthcare information Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (441-452)
- Fürnkranz J A comparison of pruning methods for relational concept learning Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (371-382)
- Hu X, Cercone N and Xie J Learning data trend regularities prom databases in a dynamic environment Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (323-334)
- Anand S, Bell D and Hughes J Database mining in the architecture of a semantic pre-processor for state-aware query optimization Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (287-298)
- Zucker J, Corruble V, Thomas J and Ramalho G DICE Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (275-286)
- Laer W, Dehaspe L and Raedt L Applications of a logical discovery engine Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (263-274)
- Mannila H, Toivonen H and Verkamo A Efficient algorithms for discovering association rules Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (181-192)
- Han J and Fu Y Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (157-168)
- Bhandari I and Biyani S On the role of statistical significance in exploratory data analysis Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, (61-72)
- Han J, Fu Y, Huang Y, Cai Y and Cercone N (1994). DBLearn, ACM SIGMOD Record, 23:2, (516), Online publication date: 1-Jun-1994.
- Han J, Fu Y, Huang Y, Cai Y and Cercone N DBLearn Proceedings of the 1994 ACM SIGMOD international conference on Management of data
- Kivinen J and Mannila H The power of sampling in knowledge discovery Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, (77-85)
- Agrawal R Tutorial database mining Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, (75-76)
- Terveen L Interface support for data archeology Proceedings of the second international conference on Information and knowledge management, (356-363)
- Devanbu P Translating description logics to information server queries Proceedings of the second international conference on Information and knowledge management, (256-263)
- Shum C Quick and incomplete responses Proceedings of the second international conference on Information and knowledge management, (39-48)
- Bhandari I, Halliday M, Tarver E, Brown D, Chaar J and Chillarege R (1993). A Case Study of Software Process Improvement During Development, IEEE Transactions on Software Engineering, 19:12, (1157-1170), Online publication date: 1-Dec-1993.
- Nishio S, Kawano H and Han J Knowledge discovery in object-oriented databases Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (299-313)
- Hsu C and Knoblock C Learning database abstractions for query reformulation Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (276-290)
- Carbone P and Kerschberg L Intelligent mediation in active knowledge mining Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (241-253)
- Corruble V and Ganascia J Discovery of the causes of scurvy Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (70-80)
- Bhandari I Attribute focusing Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (61-69)
- Alexander W, Bonissone P and Rau L Preliminary investigations into knowledge discovery for quick market intelligence Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (52-60)
- Agrawal R, Imieliński T and Swami A (1993). Mining association rules between sets of items in large databases, ACM SIGMOD Record, 22:2, (207-216), Online publication date: 1-Jun-1993.
- Agrawal R, Imieliński T and Swami A Mining association rules between sets of items in large databases Proceedings of the 1993 ACM SIGMOD international conference on Management of data, (207-216)
- Bhandari I and Roth N Post-process feedback with and without attribute focusing Proceedings of the 15th international conference on Software Engineering, (89-98)
- O'Leary D (1993). The impact of data accuracy on system learning, Journal of Management Information Systems, 9:4, (83-98), Online publication date: 1-Mar-1993.
Index Terms
- Knowledge Discovery in Databases
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