A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants

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A Data Mining Approach to Reading Order Detection

A Data Mining Methodology for Anomaly Detection in Network Data

A Grid-Based Multi-relational Approach to Process Mining

A KDD Platform Based on the Application Service Provider Paradigm

A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines

A Relational Approach for Discovering Frequent Patterns with Disjunctions

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A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams

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A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology

A Temporal Data Mining Framework for Analyzing Longitudinal Data

A color-based layout analysis to process censorship cards of film archives

scholarly article published 2005

A comparative analysis of methods for pruning decision trees

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A novel biclustering algorithm for the discovery of meaningful biological correlations between microRNAs and their target genes

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A parallel algorithm for approximate frequent itemset mining using MapReduce

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A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets

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A relational approach to probabilistic classification in a transductive setting

A relational perspective on spatial data mining

Adding machine learning and knowledge intensive techniques to a digital library service

scholarly article by Floriana Esposito et al published October 1998 in International Journal on Digital Libraries

An Integrated Platform for Spatial Data Mining within a GIS Environment

An Intelligent System for Real Time Fault Detection in PV Plants

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An Intelligent Technique for Forecasting Spatially Correlated Time Series

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An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting

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An Unsupervised Framework for Topological Relations Extraction from Geographic Documents

Approximate Frequent Itemset Discovery from Data Stream

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Automated discovery of dependencies between logical components in document image understanding

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Automatic Extraction of Logical Web Lists

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Classification in noisy environments using a distance measure between structural symbolic descriptions

Classifying web documents in a hierarchy of categories: a comprehensive study

CloFAST: closed sequential pattern mining using sparse and vertical id-lists

Collective Inference for Handling Autocorrelation in Network Regression

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Collective regression for handling autocorrelation of network data in a transductive setting

article by Corrado Loglisci et al published 20 May 2015 in Journal of Intelligent Information Systems

ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks.

scientific article published on June 2015

Complex objects ranking

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining

scientific article

Continuously Mining Sliding Window Trend Clusters in a Sensor Network

Correcting the document layout: a machine learning approach

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Dealing with Spatial Autocorrelation in Gene Flow Modeling

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Dealing with spatial autocorrelation when learning predictive clustering trees

article published in 2013

Dealing with temporal and spatial correlations to classify outliers in geophysical data streams

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Discovering Emerging Patterns for Anomaly Detection in Network Connection Data

Discovering Evolution Chains in Dynamic Networks

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Discovering Explanations from Longitudinal Data

Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome

article by Gianvito Pio et al published 15 September 2014 in ACM Journal on Computing and Cultural Heritage

Discovering Spatio-Textual Association Rules in Document Images

Discovering Triggering Events from Longitudinal Data

Discovering Variability Patterns for Change Detection in Complex Phenotype Data

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Discovering and Tracking Organizational Structures in Event Logs

Discovering process models through relational disjunctive patterns mining

Dissimilarity and Matching

Document Image Understanding through Iterative Transductive Learning

EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy

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Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering

Emerging Pattern Based Classification in Relational Data Mining

Empowering a GIS with inductive learning capabilities: the case of INGENS

Enhancing Regression Models with Spatio-temporal Indicator Additions

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Exporting Symbolic Objects to Databases

Extracting General Lists from Web Documents: A Hybrid Approach

article published in 2011

FAST Sequence Mining Based on Sparse Id-Lists

Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective

Global and Local Spatial Autocorrelation in Predictive Clustering Trees

Grid-based data mining for market basket analysis in the retail sector

Growing parallel paths for entity-page discovery

Guest Editors’ Introduction: special issue of selected papers from ECML PKDD 2011

Guest editors’ introduction: special issue of selected papers from ECML PKDD 2011

Hierarchical Multidimensional Classification of Web Documents with MultiWebClass

HyLiEn

Identifying lncRNA-Disease Relationships via Heterogeneous Clustering

Inducing Multi-Level Association Rules from Multiple Relations

Innovative power operating center management exploiting big data techniques

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data

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Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

scientific article (publication date: 2014)

Introduction to the special issue

Learning Hierarchical Multi-label Classification Trees from Network Data

Learning and Transferring Geographically Weighted Regression Trees across Time

Learning to Order: A Relational Approach

Learning to Rank from Concept-Drifting Network Data Streams

Leveraging correlation across space and time to interpolate geophysical data via CoKriging

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering

MBlab: Molecular Biodiversity Laboratory

Machine Learning for Reading Order Detection in Document Image Understanding

scholarly article by Donato Malerba et al published 2008 in Studies in Computational Intelligence

Machine learning for intelligent document processing: The WISDOM system

scholarly article by Floriana Esposito et al published 1999 in Lecture Notes in Computer Science

Machine learning in computer vision

scholarly article by Floriana Esposito & Donato Malerba published September 2001 in Applied Artificial Intelligence

Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

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Mapping web pages to database records via link paths

Mining Dense Regions from Vehicular Mobility in Streaming Setting

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Mining Model Trees from Spatial Data

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Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery

Mining Ranking Models from Dynamic Network Data

Mining Relational Association Rules for Propositional Classification

Mining Spatial Association Rules for Composite Motif Discovery

article published in 2010

Mining Temporal Evolution of Entities in a Stream of Textual Documents

Mining geospatial data in a transductive setting

Mining spatio-temporal data

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Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks

Novelty Detection from Evolving Complex Data Streams with Time Windows

OLAP over Continuous Domains via Density-Based Hierarchical Clustering

Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams

Predictive Regional Trees to Supplement Geo-Physical Random Fields

Process Mining Manifesto

scientific article published in 2012

Process Mining to Forecast the Future of Running Cases

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Project D.A.M.A.: Document Acquisition, Management and Archiving

RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING

Relational Frequent Patterns Mining for Novelty Detection from Data Streams

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Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding

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Relational Mining in Spatial Domains: Accomplishments and Challenges

Relational learning techniques for document image understanding: comparing statistical and logical approaches

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Relational mining for discovering changes in evolving networks

Revision of logical theories

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STARDUST: A Novel Process Mining approach to Discover Evolving Models From trace Streams

scientific article published in 2022

Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes

Stepwise Induction of Logistic Model Trees

Summarization for Geographically Distributed Data Streams

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Summarizing numeric spatial data streams by trend cluster discovery

Top-Down Induction of Relational Model Trees in Multi-instance Learning

article published in Lecture Notes in Computer Science

Top-down induction of model trees with regression and splitting nodes

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Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents

Transductive Learning for Spatial Data Classification

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Transductive Learning of Logical Structures from Document Images

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Transductive Relational Classification in the Co-training Paradigm

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Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system

article published in 2016

Transductive learning for spatial regression with co-training

Transforming paper documents into XML format with WISDOM++

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Trend Cluster Based Kriging Interpolation in Sensor Data Networks

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Trend cluster based compression of geographically distributed data streams

Trend cluster based interpolation everywhere in a sensor network

Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction

scientific article

Using colour information to understand censorship cards of film archives

Using trend clusters for spatiotemporal interpolation of missing data in a sensor network

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning