D. Gunopulos

Publication List Details

Period

1999 - 2008

Number

29

Co-Authors

6. (2008)

R. Agarwal, C. Aggarwal, V. Prasad, A Tree, C. Aggarwal, C. Propiuc, ...

of Frequent Itemsets. In Proc. of the High Performance Data Mining Workshop,

Maps. Springer, 2001. (2008)

R. Agrawal, J. Gehrke, D. Gunopulos, N. Allinson, H. Yin, L. Allinson, ...

[4] A. Amadei, A.B.M. Linssen, and H.J.C. Berendsen. Essential dynamics of proteins.

Distributed Middleware Architectures for Scalable Media Services Abstract (2008)

V. Kalogeraki, D. Zeinalipour-yazti, D. Gunopulos, A. Delis

demand for large-scale reliable media services. This exposes the scalability limitations of current middleware architectures, as they traditionally operate on either very large server configurations...

Towards In-Situ Data Storage in Sensor Databases (2008)

D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos, A. Mitra, A. Banerjee, W. Najjar

Abstract. The advances in wireless communications along with the exponential growth of transistors per integrated circuit lead to a rapid evolution of Wireless Sensor Devices (WSDs), that can be used...

The Threshold Join Algorithm for Top-k Queries in (2008)

Distributed Sensor Networks, D. Zeinalipour-yazti, Z. Vagena, D. Gunopulos, V. Kalogeraki, V. Tsotras, ...

In this paper we present the Threshold Join Algorithm (TJA), which is an e#cient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query is to find the k...

Frequent Subgraph Retrieval in Geometric Graph Databases (2008)

Nowozin, S., Tsuda, K., Giannotti, F., Gunopulos, D., Turini, F., Zaniolo, C., ...

Discovery of knowledge from geometric graph databases is of particular importance in chemistry and biology, because chemical compounds and proteins are represented as graphs with 3D geometric...

Iterative Subgraph Mining for Principal Component Analysis (2008)

Saigo, H., Tsuda, K., Giannotti, F., Gunopulos, D., Turini, F., Zaniolo, C., ...

Graph mining methods enumerate frequent subgraphs efficiently, but they are not necessarily good features for machine learning due to high correlation among features. Thus it makes sense to perform...

Block Iterative Algorithms for Non-negative Matrix Approximation (2008)

Sra, S., Giannotti, F., Gunopulos, D., Turini, F., Zaniolo, C., Ramakrishnan, N., ...

In this paper we present new algorithms for non-negative matrix approximation (NMA), commonly known as the NMF problem. Our methods improve upon the well-known methods of Lee & Seung~cite{lee00} for...

``Distributed Spatio-Temporal Similarity Search’’ (2007)

Demetris Zeinalipour, D. Zeinalipour-yazti, S. Lin, D. Gunopulos

Feel free to use any of the following slides for educational purposes, however kindly acknowledge the source. We would also like to know how you have used these slides, so please send me emails with...

M.: Efficient online state tracking using sensor networks (2006)

M. Halkidi, V. Kalogeraki, D. Gunopulos, D. Papadopoulos, D. Zeinalipour-yazti, M. Vlachos

Sensor networks are being deployed for tracking events of interest in many environmental or monitoring applications. Because of their distributed nature of operation, a challenging issue is how to...

M.: Efficient online state tracking using sensor networks (2006)

M. Halkidi, V. Kalogeraki, D. Gunopulos, D. Papadopoulos, D. Zeinalipour-yazti, M. Vlachos

Sensor networks are being deployed for tracking events of interest in many environmental or monitoring applications. Because of their distributed nature of operation, a challenging issue is to...

Sensor network coverage restoration (2005)

Kumar, Nitin, Gunopulos, D, Kalogeraki, V

Wireless sensor networks are emerging as a new computational platform consisting of small, low-power and inexpensive nodes used in a broad set of application areas including environmental monitoring,...

High performance, low power sensor platforms featuring gigabyte scale storage (2005)

A. Mitra, A. Banerjee, W. Najjar, D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Sensor applications have now touched onto the realms of real-time data processing involving algorithms as sophisticated as Fast Fourier Transform (FFT), Finite Impulse Response (FIR) filtering and...

Rise co-s : High performance sensor storage and co-processing architecture (2005)

A. Banerjee, A. Mitra, W. Najjar, D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Abstract—Low power, high performance sensor designs are of particular importance nowadays considering the plethora of emerging applications in a wide range of fields. Applications such as audio...

High performance, low power sensor platforms featuring gigabyte scale storage (2005)

A. Mitra, A. Banerjee, W. Najjar, D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Sensor applications have now touched onto the realms of real-time data processing involving algorithms as sophisticated as Fast Fourier Transform (FFT), Finite Impulse Response (FIR) filtering and...

Data acquisition in sensor networks with large memories (2005)

D. Zeinalipour-yazti, S. Neema, D. Gunopulos, V. Kalogeraki, W. Najjar

Wireless Sensor Networks will soon become ubiquitous, making them essential tools for monitoring the activity and evolution of our surrounding environment. However such environments are expected to...

Data Acquisition in Sensor Networks with Large Memories (2005)

D. Zeinalipour-yazti, S. Neema, V. Kalogeraki, D. Gunopulos, W. Najjar

Sensor Networks will soon become ubiquitous, making them essential tools for monitoring the activity and evolution of our surrounding environment. However such environments are expected to generate...

Towards In-Situ Data Storage in Sensor Databases (2005)

D. Zeinalipour-Yazti, V. Kalogeraki, D. Gunopulos, A. Mitra, A. Banerjee, W. Najjar

The advances in wireless communications along with the exponential growth of transistors per integrated circuit lead to a rapid evolution of Wireless Sensor Devices (WSDs), that can be used for...

Data acquisition in sensor networks with large memories (2005)

D. Zeinalipour-yazti, S. Neema, V. Kalogeraki, D. Gunopulos, W. Najjar

Sensor Networks will soon become ubiquitous, making them essential tools for monitoring the activity and evolution of our surrounding environment. However such environments are expected to generate...

Rise co-s : High performance sensor storage and co-processing architecture (2005)

A. Banerjee, A. Mitra, W. Najjar, D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Abstract—Low power, high performance sensor designs are of particular importance nowadays considering the plethora of emerging applications in a wide range of fields. Applications such as audio...

Rise co-s : High performance sensor storage and co-processing architecture (2005)

A. Banerjee, A. Mitra, W. Najjar, D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Abstract—Low power, high performance sensor designs are of particular importance nowadays considering the plethora of emerging applications in a wide range of fields. Applications such as audio...

Nodes: A novel system design for embedded sensor networks (2005)

S. Neema, A. Mitra, A. Banerjee, W. Najjar, D. Zeinalipour-yazti, D. Gunopulos, ...

Emerging technologies provide increasingly powerful, efficient, compact and economically viable capabilities like single chip solutions for wireless embedded sensor systems, and large capacity flash...

High performance, low power sensor platforms featuring gigabyte scale storage (2005)

A. Mitra, A. Banerjee, W. Najjar, D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Sensor applications have now touched onto the realms of real-time data processing involving algorithms as sophisticated as Fast Fourier Transform (FFT), Finite Impulse Response (FIR) filtering and...

On Constructing Internet-Scale P2P Information Retrieval Systems (2004)

D. Zeinalipour-yazti, V. Kalogeraki, D. Gunopulos

Abstract. We initiate a study on the effect of the network topology on the performance of Peer-to-Peer (P2P) information retrieval systems. The emerging P2P model has become a very powerful and...

FIGI: The Architecture of an Internet-based Financial Information Gathering Infrastructure (1999)

M. D. Dikaiakos, D. Gunopulos

In this paper we present the architecture of a Financial Information Gathering Infrastructure (FIGI). FIGI helps investors collect, filter, combine and integrate portfolio-related information...