Distributed Data Mining Bibliography

Advances in computing and communication over wired and wireless networks have resulted in many pervasive distributed computing environments. Many of these environments deal with different distributed sources of voluminous data, multiple compute nodes, and distributed user community. Analyzing and monitoring these distributed data sources require a data mining technology designed for distributed applications. The field of distributed data mining (DDM) deals with this problem—mining distributed data by paying careful attention to the distributed resources. The goal of this paper is to maintain and distribute a bibliography of DDM-related publications. We hope that DDM researchers and practitioners find this service useful. We welcome every help from the community in maintaining the bibliography. ∗The authors acknowledge supports from the NASA (NRA) NAS2-37143 and the United States National Science Foundation CAREER award IIS-0093353.

[1]  Victor Lesser,et al.  Customizing Distributed Search Among Agents with Heterogeneous Knowledge , 1992, CIKM 1992.

[2]  Nathan Linial,et al.  Locality in Distributed Graph Algorithms , 1992, SIAM J. Comput..

[3]  Victor R. Lesser,et al.  Understanding the Role of Negotiation in Distributed Search Among Heterogereous Agents , 1993, IJCAI.

[4]  Salvatore J. Stolfo,et al.  Toward parallel and distributed learning by meta-learning , 1993 .

[5]  Victor R. Lesser,et al.  Exploiting Meta-Level information in a Distributed Scheduling System , 1994, AAAI.

[6]  Zhaojun Bai.  A Parallel Algorithm for Computing the Generalized Singular Value Decomposition , 1994, J. Parallel Distributed Comput..

[7]  Anthony B. Maddox,et al.  A Framework for Distributed Reinforcement Learning , 1995, Adaption and Learning in Multi-Agent Systems.

[8]  Brad Perry,et al.  Applying a Data Miner To Heterogeneous Schema Integration , 1995, KDD.

[9]  Peter Edwards,et al.  Agent-Based Knowledge Discovery , 1995 .

[10]  Salvatore J. Stolfo,et al.  A parallel and distributed environment for database rule processing: open problems and future directions , 1995 .

[11]  Philip S. Yu,et al.  Efficient parallel data mining for association rules , 1995, CIKM '95.

[12]  Peter Edwards,et al.  Distributed Learning: An Agent-Based Approach to Data-Mining , 1995 .

[13]  Salvatore J. Stolfo,et al.  A Comparative Evaluation of Voting and Meta-learning on Partitioned Data , 1995, ICML.

[14]  Salvatore J. Stolfo,et al.  Sharing Learned Models among Remote Database Partitions by Local Meta-Learning , 1996, KDD.

[15]  John K. Salmon,et al.  Parallel Halo Finding in N-Body Cosmology Simulations , 1996, KDD.

[16]  Srinivasan Parthasarathy,et al.  Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors , 1996, Proceedings of the 1996 ACM/IEEE Conference on Supercomputing.

[17]  David Wai-Lok Cheung,et al.  Efficient Mining of Association Rules in Distributed Databases , 1996, IEEE Trans. Knowl. Data Eng..

[18]  Richard R. Muntz,et al.  Scalable Exploratory Data Mining of Distributed Geoscientific Data , 1996, KDD.

[19]  Jiawei Han,et al.  A fast distributed algorithm for mining association rules , 1996, Fourth International Conference on Parallel and Distributed Information Systems.

[20]  Rakesh Agrawal,et al.  Parallel Mining of Association Rules , 1996, IEEE Trans. Knowl. Data Eng..

[21]  Salvatore J. Stolfo,et al.  JAM: Java Agents for Meta-Learning over Distributed Databases , 1997, KDD.

[22]  Ilker Hamzaoglu,et al.  Scalable, Distributed Data Mining - An Agent Architecture , 1997, KDD.

[23]  Jacques Calmet,et al.  KOMET - A System for the Integration of Heterogeneous Information Sources , 1997, ISMIS.

[24]  Ira J. Haimowitz,et al.  Integrating and Mining Distributed Customer Databases , 1997, KDD.

[25]  Paul R. Cohen,et al.  Parallel and Distributed Search for Structure in Multivariate Time Series , 1997, ECML.

[26]  Sally McClean,et al.  Using evidence theory for the integration of distributed databases , 1997, Int. J. Intell. Syst..

[27]  Kenji Yamanishi,et al.  Distributed cooperative Bayesian learning strategies , 1997, COLT '97.

[28]  Wai Lam,et al.  Distributed data mining of probabilistic knowledge , 1997, Proceedings of 17th International Conference on Distributed Computing Systems.

[29]  Shonali Krishnaswamy,et al.  Activating a passive database using knowledge discovery techniques , 1998 .

[30]  Jihoon Yang,et al.  Intelligent mobile agents for information retrieval and knowledge discovery from distributed data and knowledge sources , 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

[31]  Erik L. Johnson,et al.  Collective Data Mining From Distributed , Vertically PartitionedFeature , 1998 .

[32]  Salvatore J. Stolfo,et al.  Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection , 1998, KDD.

[33]  Vasant Honavar,et al.  Distributed knowledge networks , 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

[34]  Don X. Sun,et al.  Methods for Linking and Mining Massive Heterogeneous Databases , 1998, KDD.

[35]  Robert L. Grossman,et al.  The Preliminary Design of Papyrus: A System for High Performance Distributed Data Mining over Cluste , 1998, AAAI 1998.

[36]  Vincent Cho,et al.  Towards Real Time Discovery from Distributed Information Sources , 1998, PAKDD.

[37]  Gerhard Weiß,et al.  A multiagent perspective of parallel and distributed machine learning , 1998, AGENTS '98.

[38]  Chris Nowak,et al.  Multiple Databases, Partial Reasoning, and Knowledge Discovery , 1998, PAKDD.

[39]  Salvatore J. Stolfo,et al.  Pruning Classifiers in a Distributed Meta-Learning System , 1998 .

[40]  Enrico Nardelli,et al.  Distributed Searching of Multi-dimensional Data: A Performance Evaluation Study , 1998, J. Parallel Distributed Comput..

[41]  Lee A. Becker,et al.  Coactive Learning for Distributed Data Mining , 1998, KDD.

[42]  F. K. Lam,et al.  A Novel Approach to Fast Discrete Fourier Transform , 1998, J. Parallel Distributed Comput..

[43]  David Wai-Lok Cheung,et al.  Effect of Data Skewness in Parallel Mining of Association Rules , 1998, PAKDD.

[44]  Salvatore J. Stolfo,et al.  Mining Databases with Different Schemas: Integrating Incompatible Classifiers , 1998, KDD.

[45]  Srinivasan Parthasarathy,et al.  Memory Placement Techniques for Parallel Association Mining , 1998, KDD.

[46]  Salvatore J. Stolfo,et al.  Distributed data mining in credit card fraud detection , 1999, IEEE Intell. Syst..

[47]  Philip S. Yu,et al.  Horting hatches an egg: a new graph-theoretic approach to collaborative filtering , 1999, KDD '99.

[48]  Charless C. Fowlkes,et al.  Diamond Eye: a distributed architecture for image data mining , 1999, Defense, Security, and Sensing.

[49]  Sally I. McClean,et al.  Optimal and Efficient Integration of Heterogeneous Summary Tables in a Distributed Database , 1999, Data Knowl. Eng..

[50]  Philip K. Chan,et al.  The Distributed Data-Mining Worksho , 1999 .

[51]  Yike Guo,et al.  An Architecture for Distributed Enterprise Data Mining , 1999, HPCN Europe.

[52]  Hillol Kargupta,et al.  Collective, Hierarchical Clustering from Distributed, Heterogeneous Data , 1999, Large-Scale Parallel Data Mining.

[53]  Mahmut T. Kandemir,et al.  Data management for large-scale scientific computations in high performance distributed systems , 1999, Proceedings. The Eighth International Symposium on High Performance Distributed Computing (Cat. No.99TH8469).

[54]  Salvatore J. Stolfo,et al.  The application of AdaBoost for distributed, scalable and on-line learning , 1999, KDD '99.

[55]  Shay Kutten,et al.  Fault-Local Distributed Mending , 1999, J. Algorithms.

[56]  Inderjit S. Dhillon,et al.  A Data-Clustering Algorithm on Distributed Memory Multiprocessors , 1999, Large-Scale Parallel Data Mining.

[57]  Andrew W. Moore,et al.  Distributed Value Functions , 1999, ICML.

[58]  Mohammed J. Zaki.  Parallel Sequence Mining on Shared-Memory Machines , 1999, Large-Scale Parallel Data Mining.

[59]  H. Sivakumar,et al.  Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters , 1999, ACM/IEEE SC 1999 Conference (SC'99).

[60]  Viktor K. Prasanna,et al.  Efficient collective communication in distributed heterogeneous systems , 1999, Proceedings. 19th IEEE International Conference on Distributed Computing Systems (Cat. No.99CB37003).

[61]  Mohammed J. Zaki.  Parallel and distributed association mining: a survey , 1999, IEEE Concurr..

[62]  Nitesh V. Chawla.  RiDE: Rule-learning in a Distributed Environment , 1999 .

[63]  F. Berman,et al.  Adaptive Performance Prediction for Distributed Data-Intensive Applications , 1999, ACM/IEEE SC 1999 Conference (SC'99).

[64]  Sally I. McClean,et al.  Automated Discovery of Rules and Exeptions from Distributed Databases Using Aggregates , 1999, PKDD.

[65]  Vipin Kumar,et al.  Report from the workshop on distributed and parallel knowledge discovery, ACM SIGKDD-2000 , 2000, SKDD.

[66]  Zoran Obradovic,et al.  Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases , 2000, PAKDD.

[67]  Bin Zhang,et al.  Distributed data clustering can be efficient and exact , 2000, SKDD.

[68]  Alex Alves Freitas,et al.  Mining Very Large Databases with Parallel Processing , 1997, The Kluwer International Series on Advances in Database Systems.

[69]  Roy Sterritt,et al.  Parallel Data Mining of Bayesian Networks from Telecommunications Network Data , 2000, IPDPS Workshops.

[70]  Masato Oguchi,et al.  Parallel Data Mining on ATM-Connected PC Cluster and Optimization of Its Execution Environments , 2000, IPDPS Workshops.

[71]  Dennis McLeod,et al.  A Probe-Based Technique to Optimize Join Queries in Distributed Internet Databases , 2000, Knowledge and Information Systems.

[72]  M. Narasimha Murty,et al.  Scalable, Distributed and Dynamic Mining of Association Rules , 2000, HiPC.

[73]  M. Field,et al.  Robust Order Statistics based Ensembles for Distributed Data Mining , 2000 .

[74]  Nandit Soparkar,et al.  Frequent Itemset Counting Across Multiple Tables , 2000, PAKDD.

[75]  Geoffrey E. Hinton,et al.  Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space , 2000, ICML.

[76]  Sally I. McClean,et al.  Discovery of multi-level rules and exceptions from a distributed database , 2000, KDD '00.

[77]  Christos Faloutsos,et al.  Online data mining for co-evolving time sequences , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

[78]  Srinivasan Parthasarathy,et al.  Clustering Distributed Homogeneous Datasets , 2000, PKDD.

[79]  T.C. Fogarty,et al.  A Distributed Resource Evolutionary Algorithm Machine (DREAM) , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[80]  Gerhard Weikum,et al.  A goal-driven auto-configuration tool for the distributed workflow management system mentorlite , 2000, SIGMOD '00.

[81]  Yike Guo,et al.  High Performance Data Mining: Scaling Algorithms, Applications and Systems , 2000 .

[82]  Maozhen Li,et al.  PaDDMAS: parallel and distributed data mining application suite , 2000, Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000.

[83]  Shonali Krishnaswamy,et al.  An architecture to support distributed data mining services in e-commerce environments , 2000, Proceedings Second International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems. WECWIS 2000.

[84]  Srinivasan Parthasarathy,et al.  Exploiting Dataset Similarity for Distributed Mining , 2000, IPDPS Workshops.

[85]  Zoran Obradovic,et al.  Distributed clustering and local regression for knowledge discovery in multiple spatial databases , 2000, ESANN.

[86]  Shonali Krishnaswamy,et al.  Cost models for distributed data mining , 2000, ICSE 2000.

[87]  Domenico Talia,et al.  Scalable Parallel Clustering for Data Mining on Multicomputers , 2000, IPDPS Workshops.

[88]  Yehuda Lindell,et al.  Privacy Preserving Data Mining , 2000, Journal of Cryptology.

[89]  Salvatore J. Stolfo,et al.  Cost-based modeling for fraud and intrusion detection: results from the JAM project , 2000, Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00.

[90]  Robert L. Grossman,et al.  A Framework for Finding Distributed Data Mining Strategies That are Intermediate Between Centralized , 2000 .

[91]  Ian T. Foster,et al.  The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets , 2000, J. Netw. Comput. Appl..

[92]  Sunita Sarawagi,et al.  Data mining models as services on the internet , 2000, SKDD.

[93]  Philip K. Chan,et al.  Advances in Distributed and Parallel Knowledge Discovery , 2000 .

[94]  Sally I. McClean,et al.  Knowledge discovery in distributed databases using evidence theory , 2000, Int. J. Intell. Syst..

[95]  Zoran Obradovic,et al.  Discovering Homogeneous Regions in Spatial Data through Competition , 2000, ICML.

[96]  Bernhard Mitschang.  Parallel and Distributed Databases and Applications , 2000, Euro-Par.

[97]  Foster Provost,et al.  Distributed Data Mining: Scaling up and beyond , 2000 .

[98]  Charu C. Aggarwal,et al.  A Tree Projection Algorithm for Generation of Frequent Item Sets , 2001, J. Parallel Distributed Comput..

[99]  Rong Chen,et al.  Distributed Web mining using Bayesian networks from multiple data streams , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[100]  Srinivasan Parthasarathy,et al.  Parallel Data Mining for Association Rules on Shared-memory Systems , 1998 .

[101]  Ruoming Jin,et al.  A Middleware for Developing Parallel Data Mining Applications , 2001, SDM.

[102]  Zoran Obradovic,et al.  The distributed boosting algorithm , 2001, KDD '01.

[103]  Hillol Kargupta,et al.  Mining decision trees from data streams in a mobile environment , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[104]  John A. Keane,et al.  Data Allocation Algorithm for Parallel Association Rule Discovery , 2001, PAKDD.

[105]  Mario Cannataro,et al.  KNOWLEDGE GRID: High Performance Knowledge Discovery on the Grid , 2001, GRID.

[106]  Z. Obradovic,et al.  An E-commerce System for Mining Distributed Spatial Databases , 2001 .

[107]  Hillol Kargupta,et al.  Distributed Clustering Using Collective Principal Component Analysis , 2001, Knowledge and Information Systems.

[108]  Wenliang Du,et al.  Privacy-preserving cooperative scientific computations , 2001, Proceedings. 14th IEEE Computer Security Foundations Workshop, 2001..

[109]  Joel H. Saltz,et al.  Decision Tree Construction for Data Mining on Cluster of Shared-Memory Multiprocessors , 2001 .

[110]  Viviane Crestana Jensen,et al.  Mining decentralized data repositories. , 2001 .

[111]  Alok N. Choudhary,et al.  PARSIMONY: An Infrastructure for Parallel Multidimensional Analysis and Data Mining , 2001, J. Parallel Distributed Comput..

[112]  Shonali Krishnaswamy,et al.  Towards Data Mining Services on the Internet with a Multiple Service Provider Model: An XML Based Approach , 2001, J. Electron. Commer. Res..

[113]  Keqin Li.  Scalable Parallel Matrix Multiplication on Distributed Memory Parallel Computers , 2001, J. Parallel Distributed Comput..

[114]  Wenliang Du,et al.  Secure multi-party computation problems and their applications: a review and open problems , 2001, NSPW '01.

[115]  José A. B. Fortes,et al.  Characterization and Parallelization of Decision-Tree Induction , 2001, J. Parallel Distributed Comput..

[116]  Yiu-Kai Ng,et al.  A Hybrid Fragmentation Approach for Distributed Deductive Database Systems , 2001, Knowledge and Information Systems.

[117]  Wenliang Du,et al.  Secure Multi-party Computational Geometry , 2001, WADS.

[118]  S. McClean,et al.  Conceptual Clustering of Heterogeneous Distributed Databases , 2001 .

[119]  David B. Skillicorn,et al.  Parallel and Sequential Algorithms for Data Mining Using Inductive Logic , 2001, Knowledge and Information Systems.

[120]  Hillol Kargupta,et al.  Toward ubiquitous mining of distributed data , 2001, SPIE Defense + Commercial Sensing.

[121]  Peter Scheuermann,et al.  Distributed Web Log Mining Using Maximal Large Itemsets , 2001, Knowledge and Information Systems.

[122]  Rüdiger Wirth,et al.  When Distribution is Part of the Semantics: A New Problem Class for Distributed Knowledge Discovery , 2001 .

[123]  Vasant Honavar,et al.  Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources , 2001, Emergent Neural Computational Architectures Based on Neuroscience.

[124]  Heikki Mannila,et al.  Time series segmentation for context recognition in mobile devices , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[125]  Hillol Kargupta,et al.  Distributed Multivariate Regression Using Wavelet-Based Collective Data Mining , 2001, J. Parallel Distributed Comput..

[126]  Ran Wolff,et al.  Communication-efficient distributed mining of association rules , 2001, SIGMOD '01.

[127]  Hillol Kargupta,et al.  Knowledge discovery from heterogeneous data streams using fourier spectrum of decision trees , 2001 .

[128]  Nitesh V. Chawla,et al.  Creating ensembles of classifiers , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[129]  Osmar R. Zaïane,et al.  Fast parallel association rule mining without candidacy generation , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[130]  Robert L. Grossman,et al.  Data Mining for Scientific and Engineering Applications , 2001, Massive Computing.

[131]  Lawrence B. Holder,et al.  Approaches to Parallel Graph-Based Knowledge Discovery , 2001, J. Parallel Distributed Comput..

[132]  Ernestina Menasalvas,et al.  Towards Flexibility in a Distributed Data Mining Framework , 2001 .

[133]  Srikanta Tirthapura,et al.  Estimating simple functions on the union of data streams , 2001, SPAA '01.

[134]  Hillol Kargupta,et al.  A Random Matrix-Based Approach for Dependency Detection from Data Streams , 2002, DMKD.

[135]  Shonali Krishnaswamy,et al.  Towards Anytime Anywhere Data Mining e-Services , 2002, AusDM.

[136]  Vincent Cho,et al.  Distributed Mining of Classification Rules , 2002, Knowledge and Information Systems.

[137]  Anthony Rowe,et al.  Discovery net: towards a grid of knowledge discovery , 2002, KDD.

[138]  Shonali Krishnaswamy,et al.  Supporting the Optimisation of Distributed Data Mining by Predicting Application Run Times , 2002, ICEIS.

[139]  Kotagiri Ramamohanarao,et al.  Learning to Share Distributed Probabilistic Beliefs , 2002, ICML.

[140]  Shonali Krishnaswamy,et al.  Techniques for Estimating the Computation and Communication Costs of Distributed Data Mining , 2002, International Conference on Computational Science.

[141]  Partha Dasgupta,et al.  EFFICIENT DISCOVERY OF IMPLICITLY FORMED PEER-TO-PEER COMMUNITIES # , 2002 .

[142]  Jiawei Han,et al.  Heterogeneous learner for Web page classification , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[143]  Grigorios Tsoumakas,et al.  Effective Stacking of Distributed Classifiers , 2002, ECAI.

[144]  Sally I. McClean,et al.  Temporal Probabilistic Concepts from Heterogeneous Data Sequences , 2002, Soft-Ware.

[145]  Chris Clifton,et al.  Tools for privacy preserving distributed data mining , 2002, SKDD.

[146]  Sung Wook Baik,et al.  Application of a distributed data mining approach to network intrusion detection , 2002, AAMAS '02.

[147]  Mario Cannataro,et al.  A data mining toolset for distributed high- performance platforms , 2002 .

[148]  Gagan Agrawal,et al.  Developing Distributed Data Mining Implementations for a Grid Environment , 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02).

[149]  Lei Liu,et al.  MobiMine: monitoring the stock market from a PDA , 2002, SKDD.

[150]  Ayhan Demiriz,et al.  webSPADE: a parallel sequence mining algorithm to analyze web log data , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[151]  Robert L. Grossman,et al.  Merging Multiple Data Streams on Common Keys over High Performance Networks , 2002, ACM/IEEE SC 2002 Conference (SC'02).

[152]  Shang-Juh Kao,et al.  Agent-Based Infrastructure and an Application to Internet Information Gathering , 2002, Knowledge and Information Systems.

[153]  Joydeep Ghosh,et al.  A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing , 2002 .

[154]  Rong Chen,et al.  A new algorithm for learning parameters of a Bayesian network from distributed data , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[155]  Ajay D. Kshemkalyani,et al.  Communication Patterns in Distributed Computations , 2002, J. Parallel Distributed Comput..

[156]  Xiannong Meng,et al.  WebSail: From On-line Learning to Web Search , 2002, Knowledge and Information Systems.

[157]  C. Lee Giles,et al.  Self-Organization and Identification of Web Communities , 2002, Computer.

[158]  Bernard P. Zeigler,et al.  Quantization-based filtering in distributed discrete event simulation , 2002, J. Parallel Distributed Comput..

[159]  Francisco Tanudjaja,et al.  Persona: a contextualized and personalized web search , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[160]  Andy J. Keane,et al.  A Data Parallel Approach for Large-Scale Gaussian Process Modeling , 2002, SDM.

[161]  Mario Cannataro,et al.  Distributed data mining on the grid , 2002, Future Gener. Comput. Syst..

[162]  Murat Kantarcioglu,et al.  An architecture for privacy-preserving mining of client information , 2002 .

[163]  Changzhou Wang,et al.  High-Dimensional Nearest Neighbor Search with Remote Data Centers , 2002, Knowledge and Information Systems.

[164]  Xiaoming Jin,et al.  Distribution Discovery: Local Analysis of Temporal Rules , 2002, PAKDD.

[165]  Nitesh V. Chawla,et al.  Distributed Pasting of Small Votes , 2002, Multiple Classifier Systems.

[166]  Jie Wu,et al.  A Distributed Formation of Smallest Faulty Orthogonal Convex Polygons in 2-D Meshes , 2002, J. Parallel Distributed Comput..

[167]  Philip S. Yu,et al.  Distributed data mining in a chain store database of short transactions , 2002, KDD.

[168]  Chuleerat Jaruskulchai,et al.  A parallel learning algorithm for text classification , 2002, KDD.

[169]  Sally I. McClean,et al.  Conceptual Clustering of Heterogeneous Sequences via Schema Mapping , 2002, ISMIS.

[170]  Wenliang Du,et al.  Building decision tree classifier on private data , 2002 .

[171]  M. Medhat.  Distributed Classification Using Oiki Ddm Model , 2002 .

[172]  Jaime A. Reinoso-Castillo,et al.  Ontology-driven information extraction and integration from heterogeneous distributed autonomous data sources: A federated query centric approach. , 2002 .

[173]  Sally I. McClean,et al.  A negotiation agent for distributed heterogeneous statistical databases , 2002, Proceedings 14th International Conference on Scientific and Statistical Database Management.

[174]  Hillol Kargupta,et al.  Constructing Simpler Decision Trees from Ensemble Models Using Fourier Analysis , 2002, DMKD.

[175]  Selvakumar Manickam,et al.  Distributed data mining from heterogeneous healthcare data repositories: towards an intelligent agent-based framework , 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

[176]  Grigorios Tsoumakas,et al.  Distributed Data Mining of Large Classifier Ensembles , 2002 .

[177]  Hillol Kargupta,et al.  Dependency Detection in MobiMine and Random Matrices , 2002, PKDD.

[178]  Kate Smith-Miles,et al.  A Data Mining Architecture for Distributed Environments , 2002, IICS.

[179]  Hillol Kargupta,et al.  Energy Consumption in Data Analysis for On-board and Distributed Applications , 2003 .

[180]  Vasant Honavar,et al.  A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments , 2003, ILP.

[181]  Martin Pelikan,et al.  Design of Multithreaded Estimation of Distribution Algorithms , 2003, GECCO.

[182]  Vasant Honavar,et al.  Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources , 2003, IIWeb.

[183]  Joydeep Ghosh,et al.  Privacy-preserving distributed clustering using generative models , 2003, Third IEEE International Conference on Data Mining.

[184]  Matthias Klusch,et al.  Agent-Based Distributed Data Mining: The KDEC Scheme , 2003, AgentLink.

[185]  Domenico Talia,et al.  Managing heterogeneous resources in data mining applications on grids using XML-based metadata , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[186]  Hector Garcia-Molina,et al.  The Eigentrust algorithm for reputation management in P2P networks , 2003, WWW '03.

[187]  Dietmar W. Erwin,et al.  EUROGRID--European computational grid testbed , 2003, J. Parallel Distributed Comput..

[188]  Sally I. McClean,et al.  A Scalable Approach to Integrating Heterogeneous Aggregate Views of Distributed Databases , 2003, IEEE Trans. Knowl. Data Eng..

[189]  Guangwen Yang,et al.  Distributed page ranking in structured P2P networks , 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

[190]  Deborah Estrin,et al.  Computing aggregates for monitoring wireless sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[191]  Shonali Krishnaswamy,et al.  On Modelling Agent Mobility in Multiagent Methodologies , 2003 .

[192]  Michael G. Madden,et al.  Context-based Distributed Regression in Virtual Organizations , 2003 .

[193]  Nuno A. Fonseca,et al.  A parallel ILP algorithm that incorporates incremental batch learning , 2003 .

[194]  Chris Clifton,et al.  Privacy-preserving k-means clustering over vertically partitioned data , 2003, KDD '03.

[195]  Henri Casanova,et al.  A decoupled scheduling approach for Grid application development environments , 2003, J. Parallel Distributed Comput..

[196]  Nitesh V. Chawla,et al.  Distributed learning with bagging-like performance , 2003, Pattern Recognit. Lett..

[197]  Jou-Ming Chang,et al.  Distributed algorithms for finding the unique minimum distance dominating set in directed split-stars , 2003, J. Parallel Distributed Comput..

[198]  Chris Clifton,et al.  Leveraging the "Multi" in secure multi-party computation , 2003, WPES '03.

[199]  Christopher Olston,et al.  Distributed top-k monitoring , 2003, SIGMOD '03.

[200]  Satoshi Morinaga,et al.  Distributed cooperative mining for information consortia , 2003, KDD '03.

[201]  A. Schuster,et al.  A high-performance distributed algorithm for mining association rules , 2003, Third IEEE International Conference on Data Mining.

[202]  Anil K. Jain,et al.  Combining multiple weak clusterings , 2003, Third IEEE International Conference on Data Mining.

[203]  Bing Liu,et al.  Detecting patterns of change using enhanced parallel coordinates visualization , 2003, Third IEEE International Conference on Data Mining.

[204]  Ruoming Jin,et al.  Communication and Memory Efficient Parallel Decision Tree Construction , 2003, SDM.

[205]  Ee-Chien Chang,et al.  Distributed multivariate regression based on influential observations , 2003, KDD '03.

[206]  K. Sivakumar,et al.  Collective mining of Bayesian networks from distributed heterogeneous data , 2003, Knowledge and Information Systems.

[207]  Adriano Veloso,et al.  Incremental Techniques for Mining Dynamic and Distributed Databases , 2003 .

[208]  Karl-Friedrich Kraiss,et al.  Parallel and distributed computing for an adaptive visual object retrieval system , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[209]  Shenghuo Zhu,et al.  A new distributed data mining model based on similarity , 2003, SAC '03.

[210]  Carla E. Brodley,et al.  Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach , 2003, ICML.

[211]  Dahlia Malkhi,et al.  Estimating network size from local information , 2003, Information Processing Letters.

[212]  Rong Chen,et al.  Learning Bayesian Network Structure from Distributed Data , 2003, SDM.

[213]  Shonali Krishnaswamy,et al.  Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects , 2003 .

[214]  Lawrence O. Hall,et al.  Comparing pure parallel ensemble creation techniques against bagging , 2003, Third IEEE International Conference on Data Mining.

[215]  Yan Xing,et al.  Distributed Regression for Heterogeneous Data Sets , 2003, IDA.

[216]  M. Kaufmann.  What Can Be Computed Locally ? , 2003 .

[217]  Matthias Klusch,et al.  Distributed Clustering Based on Sampling Local Density Estimates , 2003, IJCAI.

[218]  Shonali Krishnaswamy,et al.  From m-GAIA to Grasshopper: Engineering Mobile Agent Applications , 2003, iiWAS.

[219]  Mario Cannataro,et al.  The knowledge grid , 2003, CACM.

[220]  Vasant Honavar,et al.  Decision Tree Induction from Distributed Heterogeneous Autonomous Data Sources , 2003 .

[221]  Tiranee Achalakul,et al.  A distributed spectral-screening PCT algorithm , 2003, J. Parallel Distributed Comput..

[222]  Ah-Hwee Tan,et al.  Mining semantic networks for knowledge discovery , 2003, Third IEEE International Conference on Data Mining.

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