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检索条件"机构=Data-Mining and Machine Learning"
67 条 记 录,以下是1-10 订阅
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CC-HIT: Creating Counterfactuals from High-Impact Transitions
CC-HIT: Creating Counterfactuals from High-Impact Transitio...
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International Workshops which were held in conjunction with the 6th International Conference on Process mining, ICPM 2024
作者: Xian, Zhicong Zellner, Ludwig Tavares, Gabriel Marques Seidl, Thomas Database Systems and Data Mining LMU Munich Munich Germany Munich Center for Machine Learning Munich Germany
Smooth process execution relies on high-quality insights extracted from event data. For instance, trace durations heavily affect performance and increase resource consumption. While many predictive systems aim to iden... 详细信息
来源: 评论
Motif Discovery Framework for Psychiatric EEG data Classification
arXiv
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arXiv 2025年
作者: Kraljevska, Melanija Hlavackova-Schindler, Katerina Miklautz, Lukas Plant, Claudia Research Group Data Mining and Machine Learning Faculty of Computer Science University of Vienna Währingerstrasse 29 Vienna1090 Austria ds:UniVie University of Vienna Austria
In current medical practice, patients undergoing depression treatment must wait four to six weeks before a clinician can assess medication response due to the delayed noticeable effects of antidepressants. Identificat... 详细信息
来源: 评论
Cause or Trigger? From Philosophy to Causal Modeling
arXiv
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arXiv 2025年
作者: Hlaváčková-Schindler, Kateřina Wöß, Rainer Pecorino, Vera Schindler, Philip Research Group Data Mining and Machine Learning Faculty of Computer Science University of Vienna Vienna Austria Department of Physics and Astronomy University of Catania Catania Italy Faculty of Philosophy University of Vienna Vienna Austria
Not much has been written about the role of triggers in the literature on causal reasoning, causal modeling, or philosophy. In this paper, we focus on describing triggers and causes in the metaphysical sense and on ch... 详细信息
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I Want’Em All (At Once) – Ultrametric Cluster Hierarchies
arXiv
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arXiv 2025年
作者: Draganov, Andrew Weber, Pascal Jørgensen, Rasmus Skibdahl Melanchton Beer, Anna Plant, Claudia Assent, Ira Department of Computer Science Aarhus University Aarhus Denmark Data Mining and Machine Learning University of Vienna Vienna Austria UniVie Doctoral School Computer Science University of Vienna Vienna Austria Data Science @ Uni Vienna University of Vienna Vienna Austria
Hierarchical clustering is a powerful tool for exploratory data analysis, organizing data into a tree of clusterings from which a partition can be chosen. This paper generalizes these ideas by proving that, for any re...
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Fast pattern matching approach for intrusion detection systems
Fast pattern matching approach for intrusion detection syste...
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1st International Conference on Emerging Research in Electronics, Computer Science and Technology, ICERECT 2012
作者: Manjunath, M. Srinivasa, K.G. Muppalla, Anil Kumar Machine Learning and Data Mining Laboratory Department of Computer Science and Engineering M S Ramaiah Institute of Technology Bangalore India
Intrusion detection system (IDS) consists of set of techniques and methods for collection of packets from host system or network and analyzes those packets for anomalous content. IDSs mainly fall into two categories: ... 详细信息
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Efficient image representation for object recognition via pivots selection
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Frontiers of Computer Science 2015年 第3期9卷 383-391页
作者: Bojun XIE Yi LIU HuiZHANG Jian YU Beijing Key Lab of Traffic Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Key Lab of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071000 China
Patch-level features are essential for achieving good performance in computer vision tasks. Besides well- known pre-defined patch-level descriptors such as scalein- variant feature transform (SIFT) and histogram of ... 详细信息
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Pattern Recognition for Brain-Computer Interface on Disabled Subjects using a Wavelet Transformation
Pattern Recognition for Brain-Computer Interface on Disabled...
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IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
作者: Bassani, Thiago Nievola, Julio Cesar PUCPR Data Mining and Machine Learning Research Group Brazil PUCPR PPGIa (Programa de Pós-Graduação em Informática) Brazil
The main objective of this work is to present an exploratory approach on electroencephalographic (EEG) signal, analyzing the patterns on the time-frequency plane. This work also aims to optimize the EEG signal analysi... 详细信息
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Opinion mining in social media: Modeling, simulating, and visualizing political opinion formation in the web  11
Opinion mining in social media: Modeling, simulating, and vi...
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12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, dg.o 2011
作者: Kaschesky, Michael Sobkowicz, Pawel Bouchard, Guillaume Bern University of Applied Sciences E-Government Unit Bern Switzerland Xerox Research Center Europe Data Mining and Machine Learning Grenoble France
Affordable and ubiquitous online communications (social media) provide the means for flows of ideas and opinions and play an increasing role for the transformation and cohesion of society - yet little is understood ab... 详细信息
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Characterization of bacterial operons consisting of two tubulins and a kinesin-like gene by the novel Two-Step Gene Walking method
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NUCLEIC ACIDS RESEARCH 2007年 第20期35卷 e135-e135页
作者: Pilhofer, Martin Bauer, Andreas Peter Schrallhammer, Martina Richter, Lothar Ludwig, Wolfgang Schleifer, Karl-Heinz Petroni, Giulio Tech Univ Munich Lehrstuhl Mikrobiol D-85354 Freising Weihenstephan Germany Univ Pisa Dipartimento Biol I-56126 Pisa Italy Tech Univ Munich Machine Learning & Data Mining Bioinformat D-85748 Garching Germany
Tubulins are still considered as typical proteins of Eukaryotes. However, more recently they have been found in the unusual bacteria Prosthecobacter (btubAB). In this study, the genomic organization of the btub-genes ... 详细信息
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Toward personalized care management of patients at risk- The diabetes case study  11
Toward personalized care management of patients at risk- The...
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17th ACM SIGKDD International Conference on Knowledge Discovery and data mining, KDD 2011
作者: Neuvirth, Hani Ozery-Flato, Michal Laserson, Jonathan Rosen-Zvi, Michal Hu, Jianying Kohn, Martin S. Ebadollahi, Shahram Machine Learning and Data Mining Group IBM Research Mount Carmel Haifa 31905 Israel Healthcare Transformation Group IBM Research Hawthorne NY United States
Chronic diseases constitute the leading cause of mortality in the western world, have a major impact on the patients'quality of life, and comprise the bulk of healthcare costs. Nowadays, healthcare data management... 详细信息
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