dr inż. Piotr Lasek

  • Jednostka:
    Instytut Informatyki
  • Budynek: B0
  • Pokój: 353
  • Nr telefonu: 17 851 86 01
  • Email: [email protected]
  • ORCID: 0000-0002-4021-0163
  • Konsultacje dla studentów: Piatek, 16:00 - 20:00

Informacje

Piotr Lasek works on a position of an Assistant Professor at the University Rzeszów, Poland. He obtained his PhD at the Warsaw University of Technology in the field of data mining - his thesis was devoted to density-based data clustering. He spent years as Postdoctoral Fellow with the Database Laboratory at York University, Toronto working on efficient data visualization methods employing the concept of inductive aggregation. His current research interests span both interactive data exploration through visualization as well as density-based clustering with constraints.

SODA: A Real-time Simulation Framework for Object Detection and Analysis in Smart Manufacturing
P Lasek
Procedia Computer Science 192, 923-930
2021
Clustering and visualization of a high-dimensional diabetes dataset
P Lasek, Z Mei
Procedia Computer Science 159, 2179-2188
2019
Density-based clustering with constraints
P Lasek, J Gryz
Computer Science and Information Systems 16 (2), 469-489
2019
Interactive visualization of large data sets
P Godfrey, J Gryz, P Lasek
IEEE transactions on knowledge and data engineering 28 (8), 2142-2157
2016
Interactive Visualization of Big Data
P Godfrey, J Gryz, P Lasek, N Razavi
Beyond Databases, Architectures and Structures. Advanced Technologies for …
2016
Visualization through Inductive Aggregation
P Godfrey, J Gryz, P Lasek, N Razavi
19th International Conference on Extending Database Technology, EDBT 2016 …
2016
Skydive: An interactive data visualization engine
J Gryz, P Godfrey, P Lasek, N Razavi
Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on …
2015
Instance-Level Constraints in Density-Based Clustering.
P Lasek
CS&P, 11-18
2015
Relative Constraints as Features
P Lasek, K Lasek
Proceedings of the 23th International Workshop on Concurrency, Specification …
2015
Inverted fuzzy implications in approximate reasoning
Z Suraj, A Lasek, P Lasek
 
2015
Examining JDM as a Tool for Implementing Data Mining Algorithms
PP Lasek, JG Bazan
The Institute of Computer Science
2014
C-NBC: Neighborhood-Based Clustering with Constraints
P Lasek
 
2014
CDM: A Prototype Implementation of the Data Mining JDM Standard
P Lasek
Proceedings of the Ninth International Conference on Dependability and …
2014
Koncepcja systemu telemedycznego z komunikacją głosową służącego do przypominania i zdalnej kontroli zażywania leków przez pacjentów geriatrycznych i psychiatrycznych
Ł Maciura, P Lasek, A Iwanicka-Maciura
Przegląd Elektrotechniczny, 118-121
2014
An Extended Version of the LVA-Index
P Lasek
Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …
2013
The LVA-Index in Clustering
P Lasek
New Results in Dependability and Computer Systems: Proceedings of the 8th …
2013
Efficient density-based clustering
PP Lasek
The Institute of Computer Science
2012
A neighborhood-based clustering by means of the triangle inequality
M Kryszkiewicz, P Lasek
Intelligent Data Engineering and Automated Learning–IDEAL 2010: 11th …
2010
TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality
M Kryszkiewicz, P Lasek
Rough Sets and Current Trends in Computing: 7th International Conference …
2010
LVA-Index: An Efficient Way to Determine Nearest Neighbors
P Lasek
Man-Machine Interactions, 623-633
2009
FUN: Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute.
M Kryszkiewicz, P Lasek
Trans. Rough Sets 9, 76-95
2008
Fast discovery of minimal sets of attributes functionally determining a decision attribute
M Kryszkiewicz, P Lasek
RSEISP 4585, 320-331
2007
Komputerowa analiza przestrzennego sygnału EKG
PP Lasek
Instytut Informatyki
2004
 

Publikacje