Clustering-regression-ordering steps for knowledge discovery in spatial databases. - Aleksandar Lazarevic; Xiaowei Xu 001; Tim Fiez; Zoran Obradovic (IJCNN, 1999)

Distributed clustering and local regression for knowledge discovery in multiple spatial databases. - Aleksandar Lazarevic; Dragoljub Pokrajac; Zoran Obradovic (ESANN, 2000)

A Software System for Spatial Data Analysis and Modeling. - Aleksandar Lazarevic; Tim Fiez; Zoran Obradovic (HICSS, 2000)

Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. - Aleksandar Lazarevic; Tim Fiez; Zoran Obradovic (PAKDD, 2000)

The distributed boosting algorithm. - Aleksandar Lazarevic; Zoran Obradovic (KDD, 2001)

Data Reduction Using Multiple Models Integration. - Aleksandar Lazarevic; Zoran Obradovic (PKDD, 2001)

Boosting Localized Classifiers in Heterogeneous Databases. - Aleksandar Lazarevic; Zoran Obradovic (SDM, 2001)

Adaptive boosting techniques in heterogeneous and spatial databases. - Aleksandar Lazarevic; Zoran Obradovic (Intell. Data Anal., 2001)

Effective classification of 3D image data using partitioning methods. - Vasileios Megalooikonomou; Dragoljub Pokrajac; Aleksandar Lazarevic; Zoran Obradovic (Visualization and Data Analysis, 2002)

Boosting Algorithms for Parallel and Distributed Learning. - Aleksandar Lazarevic; Zoran Obradovic (Distributed Parallel Databases, 2002)

Knowledge Discovery in Multiple Spatial Databases. - Aleksandar Lazarevic; Zoran Obradovic (Neural Comput. Appl., 2002)

Damage prediction in structural mechanics using partitioning approach. - Aleksandar Lazarevic; Ramdev Kanapady; Kumar K. Tamma; Chandrika Kamath 001; Vipin Kumar 001 (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. - Aleksandar Lazarevic; Ramdev Kanapady; Chandrika Kamath 001; Vipin Kumar 001; Kumar K. Tamma (ICDM, 2003)

SMOTEBoost: Improving Prediction of the Minority Class in Boosting. - Nitesh V. Chawla; Aleksandar Lazarevic; Lawrence O. Hall; Kevin W. Bowyer (PKDD, 2003)

A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. - Aleksandar Lazarevic; Levent Ertöz; Vipin Kumar 001; Aysel Ozgur; Jaideep Srivastava (SDM, 2003)

Localized neural network based distributional learning for knowledge discovery in protein databases. - Dragoljub Pokrajac; Aleksandar Lazarevic; Teresa Singleton; Zoran Obradovic (IJCNN, 2004)

Effective localized regression for damage detection in large complex mechanical structures. - Aleksandar Lazarevic; Ramdev Kanapady; Chandrika Kamath 001 (KDD, 2004)

Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. - Despina Kontos; Vasileios Megalooikonomou; Dragoljub Pokrajac; Aleksandar Lazarevic; Zoran Obradovic; Orest B. Boyko; James Ford; Fillia Makedon; Andrew J. Saykin (MICCAI (2), 2004)

Feature bagging for outlier detection. - Aleksandar Lazarevic; Vipin Kumar 001 (KDD, 2005)

Applying spatial distribution analysis techniques to classification of 3D medical images. - Dragoljub Pokrajac; Vasileios Megalooikonomou; Aleksandar Lazarevic; Despina Kontos; Zoran Obradovic (Artif. Intell. Medicine, 2005)

Incremental Local Outlier Detection for Data Streams. - Dragoljub Pokrajac; Aleksandar Lazarevic; Longin Jan Latecki (CIDM, 2007)

Outlier Detection with Kernel Density Functions. - Longin Jan Latecki; Aleksandar Lazarevic; Dragoljub Pokrajac (MLDM, 2007)

Resource and Application Models for Advanced Grid Schedulers - Aleksandar Lazarevic; Lionel Sacks (CoRR, 2007)

Measuring and Monitoring Grid Resource Utilisation - Aleksandar Lazarevic; Lionel Sacks (CoRR, 2007)

A Study of Grid Applications: Scheduling Perspective - Aleksandar Lazarevic; Lionel Sacks (CoRR, 2007)

Self-Organising management of Grid environments - Ioannis Liabotis; Ognjen Prnjat; Temitope Olukemi; Adrian Li Mow Ching; Aleksandar Lazarevic; Lionel Sacks; Mike Fisher; Paul McKee (CoRR, 2007)

Enabling Adaptive Grid Scheduling and Resource Management - Aleksandar Lazarevic; Lionel Sacks; Ognjen Prnjat (CoRR, 2007)

Managing Uncertainty: A Case for Probabilistic Grid Scheduling - Aleksandar Lazarevic; Lionel Sacks; Ognjen Prnjat (CoRR, 2007)

Incremental Connectivity-Based Outlier Factor Algorithm. - Dragoljub Pokrajac; Natasa Reljin; Nebojsa Pejcic; Aleksandar Lazarevic (BCS Int. Acad. Conf., 2008)

An adaptive partitioning approach for mining discriminant regions in 3D image data. - Vasileios Megalooikonomou; Despina Kontos; Dragoljub Pokrajac; Aleksandar Lazarevic; Zoran Obradovic (J. Intell. Inf. Syst., 2008)

Autonomous grid scheduling using probabilistic job runtime forecasting. - Aleksandar Lazarevic (2008)

Detection of moving objects using incremental connectivity outlier factor algorithm. - Nebojsa Pejcic; Natasa Reljin; Samantha McDaniel; Dragoljub Pokrajac; Aleksandar Lazarevic (ACM Southeast Regional Conference, 2009)

Theoretically Optimal Distributed Anomaly Detection. - Aleksandar Lazarevic; Nisheeth Srivastava; Ashutosh Tiwari; Josh Isom; Nikunj C. Oza; Jaideep Srivastava (ICDM Workshops, 2009)

Data Mining for Structural Health Monitoring. - Ramdev Kanapady; Aleksandar Lazarevic (Encyclopedia of Data Warehousing and Mining, 2009)

Data Mining in Security Applications. - Aleksandar Lazarevic (Encyclopedia of Data Warehousing and Mining, 2009)

Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes. - Tia Vance; Natasa Reljin; Aleksandar Lazarevic; Dragoljub Pokrajac; Vojislav Kecman; Noureddine Melikechi; Aristides Marcano; Yuri Markushin; Samantha McDaniel (IJCNN, 2010)

Unsupervised Learning Based Distributed Detection of Global Anomalies. - Junlin Zhou; Aleksandar Lazarevic; Kuo-Wei Hsu; Jaideep Srivastava; Yan Fu; Yue Wu (Int. J. Inf. Technol. Decis. Mak., 2010)

Classification of LIBS Protein Spectra Using Multilayer Perceptrons. - Tia Vance; Dragoljub Pokrajac; Aleksandar Lazarevic; Aristides Marcano; Yuri Markushin; Samantha McDaniel; Noureddine Melikechi (Trans. Mass Data Anal. Images Signals, 2010)