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Data Mining and Knowledge Discovery

Articles from the last few issues of Data Mining and Knowledge Discovery © Springer
  • Editorial
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 1-2.
    by Webb, Geoffrey
  • On data mining, compression, and Kolmogorov complexity
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 3-20.
    by Faloutsos, Christos, Megalooikonomou, Vasileios
    posted by 1 person edgarcia
  • Toward knowledge-rich data mining
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 21-28.
    by Domingos, Pedro
    posted by 1 person edgarcia
  • Exploratory mining in cube space
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 29-54.
    by Ramakrishnan, Raghu, Chen, Bee-Chung
  • Frequent pattern mining: current status and future directions
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 55-86.
    by Han, Jiawei, Cheng, Hong, Xin, Dong, Yan, Xifeng
    posted by 2 people Pragmatist soramame_0518
  • Future trends in data mining
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 87-97.
    by Kriegel, Hans-Peter, Borgwardt, Karsten, Kroger, Peer, Pryakhin, Alexey, Schubert, Matthias, Zimek, Arthur
  • Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from “university” to “business” and “analytics”
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (2007), pp. 99-105.
    by Gregory Piatetsky-Shapiro
    posted by 5 people imrchen chelsea-chelsea yangxian ket herjendra
  • Duplicate detection in adverse drug reaction surveillance
    Data Mining and Knowledge Discovery, Vol. 14, No. 3. (June 2007), pp. 305-328.
    by Noren, , Orre, Roland, Bate, Andrew, Edwards,
  • Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets
    Data Mining and Knowledge Discovery, Vol. 14, No. 3. (June 2007), pp. 329-366.
    by Ooi, Chia, Chetty, Madhu, Teng, Shyh
  • A fast and effective method to find correlations among attributes in databases
    Data Mining and Knowledge Discovery, Vol. 14, No. 3. (June 2007), pp. 367-407.
    by Sousa, Elaine, Traina, Caetano, Traina, Agma, Wu, Leejay, Faloutsos, Christos
  • Using metarules to organize and group discovered association rules
    Data Mining and Knowledge Discovery, Vol. 14, No. 3. (June 2007), pp. 409-431.
    by Berrado, Abdelaziz, Runger, George
  • Two topographic maps for data visualisation
    Data Mining and Knowledge Discovery, Vol. 14, No. 2. (April 2007), pp. 207-224.
    by Fyfe, Colin
  • Evaluation of ordinal attributes at value level
    Data Mining and Knowledge Discovery, Vol. 14, No. 2. (April 2007), pp. 225-243.
    by Robnik-Sikonja, Marko, Vanhoof, Koen
  • Genetic process mining: an experimental evaluation
    Data Mining and Knowledge Discovery, Vol. 14, No. 2. (April 2007), pp. 245-304.
    by Medeiros, , Weijters, , Aalst,
  • An efficient approach to external cluster assessment with an application to martian topography
    Data Mining and Knowledge Discovery, Vol. 14, No. 1. (February 2007), pp. 1-23.
    by Vilalta, , Stepinski, , Achari,
  • The complexity of non-hierarchical clustering with instance and cluster level constraints
    Data Mining and Knowledge Discovery, Vol. 14, No. 1. (February 2007), pp. 25-61.
    by Davidson, Ian, Ravi,
  • Locally adaptive metrics for clustering high dimensional data
    Data Mining and Knowledge Discovery, Vol. 14, No. 1. (February 2007), pp. 63-97.
    by Domeniconi, Carlotta, Gunopulos, Dimitrios, Ma, Sheng, Yan, Bojun, Al-Razgan, Muna, Papadopoulos, Dimitris
    posted by 1 person jcsilva
  • Compression-based data mining of sequential data
    Data Mining and Knowledge Discovery, Vol. 14, No. 1. (February 2007), pp. 99-129.
    by Keogh, Eamonn, Lonardi, Stefano, Ratanamahatana, Chotirat, Wei, Li, Lee, Sang-Hee, Handley, John
    posted by 2 people chrisv Scis0000002
  • Privacy-preserving boosting
    Data Mining and Knowledge Discovery, Vol. 14, No. 1. (February 2007), pp. 131-170.
    by Gambs, Sebastien, Kegl, Balazs, Aimeur, Esma
    posted by 1 person jcsilva
  • Non-derivable itemset mining
    Data Mining and Knowledge Discovery, Vol. 14, No. 1. (February 2007), pp. 171-206.
    by Calders, Toon, Goethals, Bart
    posted by 3 people wilmegape ADMiRes cgarboni
  • Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams
    Data Mining and Knowledge Discovery, Vol. 13, No. 3. (November 2006), pp. 261-289.
    by Yang, Ying, Wu, Xindong, Zhu, Xingquan
  • Accelerated EM-based clustering of large data sets
    Data Mining and Knowledge Discovery, Vol. 13, No. 3. (November 2006), pp. 291-307.
    by Verbeek, Jakob, Nunnink, Jan, Vlassis, Nikos
  • Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels
    Data Mining and Knowledge Discovery, Vol. 13, No. 3. (November 2006), pp. 309-334.
    by Vel, Olivier
  • Characteristic-Based Clustering for Time Series Data
    Data Mining and Knowledge Discovery, Vol. 13, No. 3. (November 2006), pp. 335-364.
    by Wang, Xiaozhe, Smith, Kate, Hyndman, Rob
    posted by 1 person burtonwu
  • Scalable Clustering Algorithms with Balancing Constraints
    Data Mining and Knowledge Discovery, Vol. 13, No. 3. (November 2006), pp. 365-395.
    by Banerjee, Arindam, Ghosh, Joydeep
  • DOMpro: Protein Domain Prediction Using Profiles, Secondary Structure, Relative Solvent Accessibility, and Recursive Neural Networks
    Data Mining and Knowledge Discovery, Vol. 13, No. 1. (July 2006), pp. 1-10.
    by Cheng, Jianlin, Sweredoski, Michael, Baldi, Pierre
  • A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
    Data Mining and Knowledge Discovery, Vol. 13, No. 1. (July 2006), pp. 11-40.
    by Bagnall, Anthony, Ratanamahatana, Chotirat, Keogh, Eamonn, Lonardi, Stefano, Janacek, Gareth
  • Information Preserving Time Decompositions of Time Stamped Documents*
    Data Mining and Knowledge Discovery, Vol. 13, No. 1. (July 2006), pp. 41-65.
    by Chundi, Parvathi, Rosenkrantz, Daniel
  • A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
    Data Mining and Knowledge Discovery, Vol. 13, No. 1. (July 2006), pp. 67-87.
    by Maruster, Laura, Weijters, , Aalst, Wil, Bosch, Antal
  • On the use of Human-Computer Interaction for Projected Nearest Neighbor Search
    Data Mining and Knowledge Discovery, Vol. 13, No. 1. (July 2006), pp. 89-117.
    by Aggarwal, Charu
  • Mining Multiple Data Sources: Local Pattern Analysis
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 121-125.
    by Zhang, Shichao, Zaki, Mohammed
  • Organizing Multiple Data Sources for Developing Intelligent e-Business Portals
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 127-150.
    by Hu, Jia, Zhong, Ning
  • Sequential Pattern Mining in Multi-Databases via Multiple Alignment
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 151-180.
    by Kum, Hye-Chung, Chang, Joong, Wang, Wei
    posted by 1 person chrisv
  • Discovering Classification from Data of Multiple Sources
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 181-201.
    by Ling, Charles, Yang, Qiang
  • Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 203-228.
    by Otey, Matthew, Ghoting, Amol, Parthasarathy, Srinivasan
  • Reinforcing Web-object Categorization Through Interrelationships
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 229-248.
    by E Xu, G Gui-Ron, Yu, G Yon, N She, U Do, G Yan, G Qian, G Zen, N Hua-Ju, N Che, G Zhen
    posted by 2 people Pragmatist ChaTo
  • Mining Adaptive Ratio Rules from Distributed Data Sources
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 249-273.
    by Yan, Jun, Liu, Ning, Yang, Qiang, Zhang, Benyu, Cheng, Qiansheng, Chen, Zheng
  • Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets
    Data Mining and Knowledge Discovery, Vol. 12, No. 2-3. (May 2006), pp. 275-308.
    by U Zh, N Xingqua, Wu, G Xindon, N Che, N Qiju
  • Structural Periodic Measures for Time-Series Data
    Data Mining and Knowledge Discovery, Vol. 12, No. 1. (January 2006), pp. 1-28.
    by Michail Vlachos, Philip Yu, Vittorio Castelli, Christopher Meek
  • Computing LTS Regression for Large Data Sets
    Data Mining and Knowledge Discovery, Vol. 12, No. 1. (January 2006), pp. 29-45.
    by Peter Rousseeuw, Katrien Driessen
  • Data Clustering with Partial Supervision
    Data Mining and Knowledge Discovery, Vol. 12, No. 1. (January 2006), pp. 47-78.
    by Abdelhamid Bouchachia, Witold Pedrycz
  • Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
    Data Mining and Knowledge Discovery, Vol. 12, No. 1. (January 2006), pp. 79-96.
    by D Bouchaffra, J Tan
  • A Mathematical Morphology Based Scale Space Method for the Mining of Linear Features in Geographic Data
    Data Mining and Knowledge Discovery, Vol. 12, No. 1. (January 2006), pp. 97-118.
    by Min Wang, Yee Leung, Chenhu Zhou, Tao Pei, Jiancheng Luo
  • An Erratum on #x201C;Pushing Convertible Constraints in Frequent Itemset Mining#x201D;
    Data Mining and Knowledge Discovery, Vol. 12, No. 1. (January 2006), pp. 119-119.
    by Jian Pei, Jiawei Han, Laks Lakshmanan
  • Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data
    Data Mining and Knowledge Discovery, Vol. 11, No. 3. (November 2005), pp. 213-222.
    by Jianlin Cheng, Michael Sweredoski, Pierre Baldi
    posted by 1 person chad_davis
  • GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets
    Data Mining and Knowledge Discovery, Vol. 11, No. 3. (November 2005), pp. 223-242.
    by Karam Gouda, Mohammed Zaki
    posted by 2 people coutinho Speed
  • Finding Frequent Patterns in a Large Sparse Graph*
    Data Mining and Knowledge Discovery, Vol. 11, No. 3. (November 2005), pp. 243-271.
    by Michihiro Kuramochi, George Karypis
  • Using Generalized Estimating Equation to Learn Decision Tree with Multivariate Responses
    Data Mining and Knowledge Discovery, Vol. 11, No. 3. (November 2005), pp. 273-293.
    by Seong Lee, Hyun-Cheol Kang, Sang-Tae Han, Kwang-Hwan Kim
  • Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing
    Data Mining and Knowledge Discovery, Vol. 11, No. 3. (November 2005), pp. 295-321.
    by Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li
    posted by 2 people sdvillal egallop
  • Privacy in Data Mining
    Data Mining and Knowledge Discovery, Vol. 11, No. 2. (September 2005), pp. 117-119.
    by Josep Domingo-Ferrer, Vicenc Torra
    posted by 1 person hsu
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