default search action
Zdzislaw S. Hippe
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j11]Patrick G. Clark, Jerzy W. Grzymala-Busse
, Zdzislaw S. Hippe, Teresa Mroczek
Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks. Inf. Sci. 662: 120287 (2024) - 2023
- [j10]Patrick G. Clark, Jerzy W. Grzymala-Busse
Global and saturated probabilistic approximations based on generalized maximal consistent blocks. Log. J. IGPL 31(2): 223-239 (2023) - [c40]Teresa Mroczek, Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets. KES 2023: 442-451 - 2021
- [c39]Patrick G. Clark, Jerzy W. Grzymala-Busse
Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks. IJCRS 2021: 3-17 - 2020
- [c38]Patrick G. Clark, Jerzy W. Grzymala-Busse
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. HAIS 2020: 387-396 - [c37]Patrick G. Clark, Jerzy W. Grzymala-Busse
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. KES 2020: 1803-1812
2010 – 2019
- 2019
- [j9]Jerzy W. Grzymala-Busse
Reduced Data Sets and Entropy-Based Discretization. Entropy 21(11): 1051 (2019) - [c36]Patrick G. Clark, Jerzy W. Grzymala-Busse
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions. ISDA 2019: 376-385 - 2018
- [c35]Zdzislaw S. Hippe, Rafal Niemiec:
New Challenges for Information Technologies in Medicine: Big Data Analysis? ITIB 2018: 518-524 - 2016
- [c34]Zdzislaw S. Hippe:
From the Research on Planning of Chemical Syntheses: Computer-Aided Modeling and Prediction of PGI2 Metabolic Reactions. ITIB (2) 2016: 363-374 - 2015
- [c33]Teresa Mroczek
Conversion of Belief Networks into Belief Rules: A New Approach. CORES 2015: 91-100 - [c32]Pawel Cudek, Zdzislaw S. Hippe:
Melanocytic skin lesions: A new approach to color assessment. HSI 2015: 99-101 - 2014
- [j8]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets. Fundam. Informaticae 132(3): 365-379 (2014) - [p8]Zdzislaw S. Hippe:
A Comparison of Two Approaches Used for Intelligent Planning of Complex Chemical Syntheses. Issues and Challenges in Artificial Intelligence 2014: 77-88 - [p7]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining Inconsistent Data with Probabilistic Approximations. Issues and Challenges in Artificial Intelligence 2014: 89-100 - [e1]Zdzislaw S. Hippe, Juliusz L. Kulikowski, Teresa Mroczek
Issues and Challenges in Artificial Intelligence. Studies in Computational Intelligence 559, Springer 2014, ISBN 978-3-319-06882-4 [contents] - 2013
- [c31]Zdzislaw S. Hippe:
Logic of human-system-interaction in planning complex strategies for chemical syntheses. HSI 2013: 368-371 - [c30]Andrzej Burda
Profiieseeker - Early warning system for predicting economic situation of small and medium enterprises. HSI 2013: 398-400 - 2012
- [j7]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(3): 257-271 (2012) - [c29]Lukasz Piatek, Zdzislaw S. Hippe:
Synthesis of selected features of melanocytic skin lesion images. IVCNZ 2012: 238-243 - [c28]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values? RSCTC 2012: 46-55 - 2011
- [c27]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining data with numerical attributes and missing attribute values - A rough set approach. GrC 2011: 214-219 - [p6]Pawel Cudek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Asymmetry of Digital Images Describing Melanocytic Skin Lesions. Computer Recognition Systems 4 2011: 605-611 - 2010
- [c26]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm. GrC 2010: 115-120 - [c25]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm. IDEAL 2010: 118-125
2000 – 2009
- 2009
- [j6]Piotr Blajdo, Zdzislaw S. Hippe, Teresa Mroczek, Jerzy W. Grzymala-Busse, Maksymilian Knap, Lukasz Piatek:
An Extended Comparison of Six Approaches to Discretization - A Rough Set Approach. Fundam. Informaticae 94(2): 121-131 (2009) - [c24]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Synthesis of Static Medical Images with an Active Shape Model. ICMMI 2009: 429-434 - [p5]Pawel Cudek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results. Computer Recognition Systems 3 2009: 381-387 - 2008
- [c23]Piotr Blajdo, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Teresa Mroczek, Lukasz Piatek:
A Comparison of Six Approaches to Discretization-A Rough Set Perspective. RSKT 2008: 31-38 - [p4]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Synthesis of Medical Images in the Domain of Melanocytic Skin Lesions. Information Technologies in Biomedicine 2008: 225-231 - [p3]Zdzislaw S. Hippe, Lukasz Piatek:
Synthesis of Static Medical Images - An Example of Melanocytic Skin Lesions. Computer Recognition Systems 2 2008: 503-509 - [p2]Barbara Kuczmowska, Andrzej Burda
Prediction of Economic Situation of Small and Medium Enterprises Using Bayesian Network. Computer Recognition Systems 2 2008: 802-807 - [p1]Andrzej Burda
Ensembles of Artificial Neural Networks for Predicting Economic Situation of Small and Medium Enterprises. Computer Recognition Systems 2 2008: 808-815 - 2007
- [j5]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek:
Deriving Belief Networks and Belief Rules from Data: A Progress Report. Trans. Rough Sets 7: 53-69 (2007) - [c22]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe, Wojciech Rzasa
A Comparison of Three Approximation Strategies for Incomplete Data Sets. GrC 2007: 301-306 - [c21]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Agnieszka Kordek, Teresa Mroczek, Wojciech Podraza
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining. RSFDGrC 2007: 289-296 - 2006
- [c20]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Randomized Dynamic Generation of Selected Melanocytic Skin Lesion Features. Intelligent Information Systems 2006: 21-29 - 2005
- [j4]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja:
Infoscience technology: the impact of internet accessible melanoid data on health issues. Data Sci. J. 4: 77-81 (2005) - [c19]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Data Mining Methods Supporting Diagnosis of Melanoma. CBMS 2005: 371-373 - [c18]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Piotr Blajdo, Maksymilian Knap, Teresa Mroczek, Wieslaw Paja
Classification of Medical Images in the Domain of Melanoid Skin Lesions. CORES 2005: 519-526 - [c17]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski:
Data Mining Experiments on Hop Processing Data. HIS 2005: 175-180 - [c16]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek:
Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem. Intelligent Information Systems 2005: 431-435 - [c15]Wieslaw Paja
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources. I. Implementation of generic operations. Intelligent Information Systems 2005: 461-465 - [c14]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski:
Data Mining Analysis of Granular Bed Caking during Hop Extraction. ISDA 2005: 426-431 - 2004
- [c13]Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe:
Diagnosis of Melanoma Using IRIM, a Data Mining System. ICAISC 2004: 996-1001 - [c12]Teresa Mroczek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Rules from Belief Networks: A Rough Set Approach. Rough Sets and Current Trends in Computing 2004: 483-487 - [c11]Ron Andrews, Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Chris Whiteley:
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System. Rough Sets and Current Trends in Computing 2004: 630-636 - 2003
- [c10]Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe:
Diagnosis of Melanoma Based on Data Mining and ABCD Formulars. HIS 2003: 614-622 - [c9]Alison Alvarez, Stanislaw Bajcar, Frank M. Brown, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Optimization of the ABCD Formula Used for Melanoma Diagnosis. IIS 2003: 233-240 - 2002
- [c8]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Postprocessing of Rule Sets Induced from a Melanoma Data Set. COMPSAC 2002: 1146-1151 - [c7]Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma. Intelligent Information Systems 2002: 3-12 - [c6]Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja:
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources. Intelligent Information Systems 2002: 361-364 - [c5]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Search for the Best Data Mining Method to Predict Melanoma. Rough Sets and Current Trends in Computing 2002: 538-545 - 2001
- [c4]Jan P. Grzymala-Busse, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Melanoma Prediction Using Data Mining System LERS. COMPSAC 2001: 615-620 - [c3]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms. Intelligent Information Systems 2001: 43-55 - 2000
- [c2]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Data Mining Experiments with the Melanoma Data Set. Intelligent Information Systems 2000: 27-34
1990 – 1999
- 1999
- [c1]Zdzislaw S. Hippe:
Data Mining and Knowledge Discovery in Business: Past, Present, and Future. BIS 1999: 158-169 - 1998
- [j3]Zdzislaw S. Hippe:
Design and Application of an Intelligent Information System SCANKEE for Solving Selected Chemical Problems. Comput. Chem. 22(1): 133-140 (1998) - 1996
- [j2]Zdzislaw S. Hippe:
Design and application of a new knowledge engineering tool for solving real-world problems. Knowl. Based Syst. 9(8): 509-515 (1996)
1980 – 1989
- 1985
- [j1]Zdzislaw S. Hippe:
Problem-solving methods in computer-aided organic structure determination. J. Chem. Inf. Comput. Sci. 25(3): 344-350 (1985)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: