Luca Cagliero

发表

Planning stock portfolios by means of weighted frequent itemsets

Luca Cagliero, Elena Baralis, Paolo Garza, 2017, Expert Syst. Appl..

Combining semantics and social knowledge for news article summarization

Luca Cagliero, Elena Baralis, Saima Jabeen, 2014 .

Dynamic social network mining: issues and prospects

Luca Cagliero, Alessandro Fiori, A. Fiori, 2013 .

Twitter data analysis by means of Strong Flipping Generalized Itemsets

Luca Cagliero, Tania Cerquitelli, Paolo Garza, 2014, J. Syst. Softw..

Analyzing Twitter User Behaviors and Topic Trends by Exploiting Dynamic Rules

Luca Cagliero, Alessandro Fiori, 2012 .

Frequent weighted itemset mining from gene expression data

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

A Rule-Based Flickr Tag Recommendation System

Luca Cagliero, Alessandro Fiori, Luigi Grimaudo, 2013, Social Media Retrieval.

From Hotel Reviews to City Similarities: A Unified Latent-Space Model

Luca Cagliero, Daniele Apiletti, Moreno La Quatra, 2020 .

EnBay: A Novel Pattern-Based Bayesian Classifier

Luca Cagliero, Elena Baralis, Paolo Garza, 2013, IEEE Transactions on Knowledge and Data Engineering.

TweCoM: Topic and Context Mining from Twitter

Luca Cagliero, Alessandro Fiori, A. Fiori, 2013, The Influence of Technology on Social Network Analysis and Mining.

Discovering air quality patterns in urban environments

Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, 2016, UbiComp Adjunct.

PaWI: Parallel Weighted Itemset Mining by Means of MapReduce

Luca Cagliero, Elena Baralis, Paolo Garza, 2015, 2015 IEEE International Congress on Big Data.

Discovering Temporal Change Patterns in the Presence of Taxonomies

Luca Cagliero, 2013, IEEE Transactions on Knowledge and Data Engineering.

Experimental Validation of a Massive Educational Service in a Blended Learning Environment

Luca Cagliero, Laura Farinetti, Elena Baralis, 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).

Leveraging the explainability of associative classifiers to support quantitative stock trading

Luca Cagliero, Elena Baralis, Giuseppe Attanasio, 2020, DSMM@SIGMOD.

Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios

Luca Cagliero, Paolo Garza, Jacopo Fior, 2020, DSMM@SIGMOD.

Misleading Generalized Itemset discovery

Luca Cagliero, Tania Cerquitelli, Paolo Garza, 2014, Expert Syst. Appl..

Learning From Summaries: Supporting e-Learning Activities by Means of Document Summarization

Luca Cagliero, Elena Baralis, Luca Cagliero, 2016, IEEE Transactions on Emerging Topics in Computing.

GraphSum: Discovering correlations among multiple terms for graph-based summarization

Luca Cagliero, Elena Baralis, Alessandro Fiori, 2013, Inf. Sci..

Improving the Effectiveness of SQL Learning Practice: A Data-Driven Approach

Luca Cagliero, Laura Farinetti, Luigi De Russis, 2018, 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC).

UNIFORM: Automatic Alignment of Open Learning Datasets

Luca Cagliero, Laura Farinetti, Lorenzo Canale, 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

Improving classification models with taxonomy information

Luca Cagliero, Paolo Garza, Luca Cagliero, 2013, Data Knowl. Eng..

Expressive generalized itemsets

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2014, Inf. Sci..

VISA: A Supervised Approach to Indexing Video Lectures with Semantic Annotations

Luca Cagliero, Laura Farinetti, Lorenzo Canale, 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).

Recommending Personalized Summaries of Teaching Materials

Luca Cagliero, Laura Farinetti, Elena Baralis, 2019, IEEE Access.

Visualization of High-Level Associations from Twitter Data

Luca Cagliero, Naeem Ahmed Mahoto, 2014 .

Heterogeneous Industrial Vehicle Usage Predictions: A Real Case

Luca Cagliero, Elena Baralis, Dena Markudova, 2019, EDBT/ICDT Workshops.

Discovering generalized association rules from Twitter

Luca Cagliero, Alessandro Fiori, A. Fiori, 2013, Intell. Data Anal..

Additional reviewer assignment by means of weighted association rules

Luca Cagliero, Elena Baralis, Paolo Garza, 2018 .

Extracting highlights of scientific articles: A supervised summarization approach

Luca Cagliero, Moreno La Quatra, Luca Cagliero, 2020, Expert Syst. Appl..

Summarization of emergency news articles driven by relevance feedback

Luca Cagliero, Luca Cagliero, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Exploiting pivot words to classify and summarize discourse facets of scientific papers

Luca Cagliero, Elena Baralis, Moreno La Quatra, 2020, Scientometrics.

Highlighter: Automatic Highlighting of Electronic Learning Documents

Luca Cagliero, Elena Baralis, 2018, IEEE Transactions on Emerging Topics in Computing.

Knowledge Discovery from Online Communities

Luca Cagliero, Alessandro Fiori, A. Fiori, 2012 .

RIB: A Robust Itemset-based Bayesian approach to classification

Luca Cagliero, Elena Baralis, Luca Cagliero, 2014, Knowl. Based Syst..

Supporting stock trading in multiple foreign markets: a multilingual news summarization approach

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2016, DSMM@SIGMOD.

PatTexSum : A pattern-based text summarizer

Luca Cagliero, Elena Baralis, Saima Jabeen, 2011 .

Discovering cross-topic collaborations among researchers by exploiting weighted association rules

Luca Cagliero, Elena Baralis, Paolo Garza, 2018, Scientometrics.

Monitoring the citizens' perception on urban security in Smart City environments

Luca Cagliero, Pierangelo Garino, Tania Cerquitelli, 2015, 2015 31st IEEE International Conference on Data Engineering Workshops.

REDTag: A Predictive Maintenance Framework for Parcel Delivery Services

Luca Cagliero, Daniele Apiletti, Tania Cerquitelli, 2020, IEEE Access.

Analyzing twitter user- generated content changes

Luca Cagliero, Alessandro Fiori, Luigi Grimaudo, 2013 .

Pattern set mining with schema-based constraint

Luca Cagliero, Silvia Chiusano, Giulia Bruno, 2015, Knowl. Based Syst..

Quantitative cryptocurrency trading: exploring the use of machine learning techniques

Luca Cagliero, Elena Baralis, Paolo Garza, 2019, DSMM@SIGMOD.

Characterizing Situations of Dock Overload in Bicycle Sharing Stations

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2018, Applied Sciences.

Identifying Collaborations among Researchers: a pattern-based approach

Luca Cagliero, Elena Baralis, Paolo Garza, 2017, BIRNDL@SIGIR.

Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles

Luca Cagliero, Elena Baralis, Luca Vassio, 2020, EDBT/ICDT Workshops.

Generalized association rule mining with constraints

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2012, Inf. Sci..

Itemset generalization with cardinality-based constraints

Luca Cagliero, Paolo Garza, Luca Cagliero, 2013, Inf. Sci..

DSLE: A Smart Platform for Designing Data Science Competitions

Luca Cagliero, Elena Baralis, Daniele Apiletti, 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

Generalized Association Rules to Support Context-aware User and Service Profiling

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2009, SEBD.

Personalized tag recommendation based on generalized rules

Luca Cagliero, Alessandro Fiori, Luigi Grimaudo, 2013, ACM Trans. Intell. Syst. Technol..

Digging deep into weighted patient data through multiple-level patterns

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2015, Inf. Sci..

MGI-Cloud: discovery of misleading generalized itemsets

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2014, SEBD.

CAS-Mine: providing personalized services in context-aware applications by means of generalized rules

Luca Cagliero, Elena Baralis, Tania Cerquitelli, 2010, Knowledge and Information Systems.

Network traffic analysis by means of Misleading Generalized Itemsets

Luca Cagliero, Elena Baralis, Daniele Apiletti, 2014 .

Data mining by means of generalized patterns

Luca Cagliero, Luca Cagliero, 2012 .

Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models

Luca Cagliero, Elena Baralis, Moreno La Quatra, 2019, BIRNDL@SIGIR.

Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts

Luca Cagliero, Paolo Garza, Danilo Giordano, 2020, Electronics.

Infrequent Weighted Itemset Mining Using Frequent Pattern Growth

Luca Cagliero, Paolo Garza, Luca Cagliero, 2014, IEEE Transactions on Knowledge and Data Engineering.

Predicting critical conditions in bicycle sharing systems

Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, 2016, Computing.

Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules

Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, 2016, 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas

Luca Cagliero, Silvia Chiusano, Paolo Garza, 2019, 2019 IEEE International Congress on Big Data (BigDataCongress).

Training ensembles of faceted classification models for quantitative stock trading

Luca Cagliero, Elena Baralis, Paolo Garza, 2020, Computing.

Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules

Luca Cagliero, Tania Cerquitelli, Paolo Garza, 2011, Int. J. Semantic Web Inf. Syst..

ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis

Luca Cagliero, Elena Baralis, Paolo Garza, 2019, TOIS.

Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context

Luca Cagliero, Paolo Garza, 2018, EDBT/ICDT Workshops.

Educational video services in universities: A systematic effectiveness analysis

Luca Cagliero, Laura Farinetti, Elena Baralis, 2017, 2017 IEEE Frontiers in Education Conference (FIE).