
- ENABLING BETTER DECISIONS THROUGH QUALITY-AWARE REPORTS IN BUSINESS INTELLIGENCE APPLICATIONS
- Frequent Items in Streaming Data: An Experimental Evaluation of the State-of-the-Art
- A Conceptual Model for a Web-scale Entity Name System
- iSAX 2.0: Indexing and Mining One Billion Time Series Alessandro Camerra Themis Palpanas Jin Shieh Eamonn Keogh
- Using Datacube Aggregates for Approximate Querying and Deviation Detection
- Online Amnesic Approximation of Streaming Time Series Themistoklis Palpanas
- Entity Data Management in OKKAM Themis Palpanas1
- TASM: Top-k Approximate Subtree Matching Nikolaus Augsten1
- Corpus Evidence for Age Effects on Priming in Child Language Jeffrey Gerard (jeffreygerard@gmail.com)
- On Space Constrained Set Selection Problems Themis Palpanas
- Maximizing the Sustained Throughput of Distributed Continuous Queries
- ! "# %$'$)(10 $2 2345'67 8&9A@CB1DFEHGIQPSRFDTEVUXWYRT`AWYaAWYE bcRTd@fegGgIhi@faApq@fRTrIQa
- Knowledge Mining for the Business Analyst Themis Palpanas1
- Eliminating the Redundancy in Blocking-based Entity Resolution Methods
- Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes
- From Web Data to Entities and Back Zoltan Miklos1
- Scalable Discovery of Contradictions on the Web Mikalai Tsytsarau
- Efficiently Discovering Recent Frequent Items In Data Streams
- Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks
- Online Outlier Detection in Sensor Data Using Non-Parametric Models
- Indexing Large Human-Motion Databases Data-driven animation has become the industry standard for
- Space Constrained Selection Problems for Data Warehouses and Pervasive Computing Themistoklis Palpanas
- Entropy Based Approximate Querying and Exploration of Datacubes Themistoklis Palpanas
- Efficient Top-k Approximate Subtree Matching in Small Memory
- Frequent Items in Streaming Data: An Experimental Evaluation of the State-of-the-Art
- Streaming Time Series Summarization Using User-Defined Amnesic Functions
- Integrated model-driven dashboard development Themis Palpanas & Pawan Chowdhary & Florian Pinel &
- Distributed Deviation Detection in Sensor Networks Themistoklis Palpanas Dimitris Papadopoulos Vana Kalogeraki Dimitrios Gunopulos
- DISI Via Sommarive 14 38123 Povo Trento (Italy) http://www.disi.unitn.it
- Entity Lifecycle Management for OKKAM1 Junaid Chaudhrya
- Adaptivity in Entity Subscription Services George Giannakopoulos, Themis Palpanas
- Scalable Detection of Sentiment-Based Contradictions Mikalai Tsytsarau
- Towards a General Entity Representation Model Barbara Bazzanella, Junaid Ahsenali Chaudhry, Themis Palpanas, Heiko
- 276 Int. J. Web Based Communities, Vol. 7, No. 3, 2011 Copyright 2011 Inderscience Enterprises Ltd.
- WhiteWater: Distributed Processing of Fast Streams
- Detecting and Exploiting Stability in Evolving Heterogeneous Information Spaces
- Online Distribution Estimation for Streaming Data: Framework and Applications
- Model-Driven Dashboards for Business Performance Reporting Pawan Chowdhary, Themis Palpanas, Florian Pinel, Shyh-Kwei Chen, Frederick Y. Wu
- Content and Type as Orthogonal Modeling Features: a Study on User Interest Awareness in Entity Subscription Services
- Ranked Join Indices Panayiotis Tsaparas
- The Entity Name System: Enabling the Web of Entities
- event processing technical society event processing technical society
- Time-Decaying Representations of Streaming Time Themistoklis Palpanas
- The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord
- Cache Management Policies for Semantic Caching Themis Palpanas, Per-ke Larson, Jonathan Goldstein
- Data Mining and Knowledge Discovery manuscript No. (will be inserted by the editor)
- To Compare or Not to Compare: Making Entity Resolution more Efficient
- A Knowledge Mining Framework for Business Analysts Themis Palpanas
- Similarity Matching for Uncertain Time Series: Analytical and Experimental Comparison
- Diverse Dimension Decomposition of an Itemset Space
- Towards a Framework for Detecting and Managing Opinion Contradictions
- Appendix for the paper: Alice Marascu, Suleiman Ali Khan, Themis Palpanas. Scalable Similarity Matching in
- SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise
- Scalable Similarity Matching in Streaming Time Series Alice Marascu
- What Does Model-Driven Data Acquisition Really Achieve in Wireless Sensor Networks?
- Density-based Projected Clustering over High Dimensional Data Irene Ntoutsi