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IMMM 2011, The First International Conference on Advances in Information Mining and Management
Type: conference
Notes: IARIA Conference.
Editors:
Ulrich Norbisrath, University of Tartu, Estonia
Pascal Lorenz, University of Haute Alsace, France
ISSN: 2326-9332
ISBN: 978-1-61208-162-5
Location: Barcelona, Spain
Dates: from October 23, 2011 to October 29, 2011
Articles: there are 28 articles
Mining Epidemiological Data Sources in H1N1 Pandemic Using Probabilistic Graphical Models
Masoumeh Tabaeh Izadi, David Buckeridge, and Katia Charland
keywords: data integration, Bayesian networks, time series analysis, surveillance
Comment-guided Learning: Bridging the Knowledge Gap between Expert Assessor and Feature Engineer
Xiang Li, Wen-Pin Lin, and Heng Ji
keywords: comment-guided learning; assessment; feature engineering.
Data Preparation in the MineCor KDD Framework
Christian Ernst and Alain Casali
keywords: Data Mining, Semiconductor Manufacturing, De- cision Correlation Rule, Data Preparation.
Exploiting Background Information Networks to Enhance Bilingual Event Extraction Through Topic Modeling
Hao Li, Heng Ji, Hongbo Deng, and Jiawei Han
keywords: Event Extraction; Background Information Network; Biased Propagation based Topic Modeling.
Mining Ice Hockey: Continuous Data Flow Analysis
Adam Hipp and Lawrence Mazlack
keywords: data mining; continuous flow analysis; ice hockey
Knowledge Management System IMMPETUS (KMSI) - Connoisseur
Osman Ishaque, Mahdi Mahfouf, George Panoutsos, and Lucian Tipi
keywords: Keywords-information storage; data sharing; data mining, knowledge management; decision making
Optimising Parameters for ASKNet: A Large Scale Semantic Knowledge Network Creation System
Brian Harrington and Simon Kempner
keywords: Semantic Networks, System Optimisation, Automatic Parameter Optimisation
Semi-Automated Semantic Annotation for Semantic Advertising Networks
Aseel Addawood and Lilac Al-Safadi
keywords: semantic web; semi-automatic annotation; Advertising Networks; RDF
Mining Cross-document Relationships from Text
Petr Knoth and Zdenek Zdrahal
keywords: text mining; automatic link generation and typing; semantic similarity; digital libraries
Analyzing the Use of Word Graphs for Abstractive Text Summarization
Elena Lloret and Manuel Palomar
keywords: Human Language Technologies; automated retrieval and mining;automated content summarization; abstractive techniques; graph-based algorithms
Improving Email Management
Tõnu Tamme, Ulrich Norbisrath, Georg Singer, and Eero Vainikko
keywords: email, exploratory search, categorization, n-grams, ontology
A Redundant Bi-Dimensional Indexing Scheme for Three-Dimensional Trajectories
Antonio d'Acierno, Alessia Saggese, and Mario Vento
keywords: Three-dimensional trajectory; Indexing; Time interval query.
Reasoning on High Performance Computing Resources
Axel Tenschert and Pierre Gilet
keywords: Ontology Matching; Reasoning; High Performance Computing; Resource Allocation
Pervasive Ad hoc Location Sharing To Enhance Dynamic Group Tours
Markus Duchon, Julian Köpke, Michael Dürr, Corina Schindhelm, and Florian Gschwandtner
keywords: Distributed information systems; Mobile ad hoc networks; Context-aware services; Transportation systems
Automatic Drug Side Effect Discovery from Online Patient-Submitted Reviews: Focus on Statin Drugs
Jingjing Liu, Alice Li, and Stephanie Seneff
keywords: medicine data mining; drug side effect discovery
FATS: A Framework for Annotation of Travel Blogs Based on Subjectivity
Inmaculada Álvarez de Mon y Rego and Liliana Ibeth Barbosa Santillán
keywords: Annotation; Subjectivity; Blogosphera; Spanish Language.
The Migraine Radar - A Medical Study Analyzing Twitter Messages?
Dirk Reinel, Sven Rill, Jörg Scheidt, and Florian Wogenstein
keywords: migraine; trigger; Twitter; weather; text mining
Selecting Data Mining Model for Web Advertising in Virtual Communities
Jerzy Surma and Mariusz Łapczyński
keywords: data mining; social network; web advertising; marketing campaign management
Large-Scale Association Rule Discovery from Heterogeneous Databases with Missing Values using Genetic Network Programming.
Eloy Gonzales, Takafumi Nakanishi, and Koji Zettsu
keywords: association rule mining, heterogeneous databases, missing values, evolutionary computation.
New Solution for Extracting Inductive Learning Rules and their Post-Analysis
Rein Kuusik and Grete Lind
keywords: machine learning; inductive learning algorithm; post-analysis of rules; determinative set of rules
An Equivalence Class Based Clustering Algorithm for Categorical Data
Qingbao liu, Wanjun Wang, Su Deng, and Guozhu Dong
keywords: clustering analysis; categorical data; equivalence class
Exploiting Student Intervention System Using Data Mining
Samia Oussena, Hyensook Kim, and Tony Clark
keywords: data mining; intervention system; student drop-out; game metaphore
Supporting Global Design Through Data Mining and Localization
Barbara Rita Barricelli and Malte Ressin
keywords: global design; localization; data mining; translation; internationalization; globalization; culture
ArmSquare: An Association Rule Miner Based on Multidimensional Numbered Information Spaces
Iliya Mitov, Krassimira Ivanova, Benoit Depaire, and Koen Vanhoof
keywords: Association Rule Mining; Market Basket Analysis; Multidimensional Numbered Information Spaces
Review of Shape-based Similarity Algorithms and Design Retrieval Methods for Computer-aided Design and Manufacturing
Leila Zehtaban and Dieter Roller
keywords: shape signature; shape similarity comparison; 3D shape retrieval; reused design
Mining Information Retrieval Results Significant IR parameters
Jonathan Compaoré, Adji Maïram Gueye, Sébastien Déjean, Josiane Mothe, and Joelson Randriamparany
keywords: information retrieval; data mining; parameter analysis; performance prediction
Mining Literal Correlation Rules from Itemsets
Alain Casali and Christian Ernst
keywords: Data Mining; Chi2 Correlation Statistic; Literal Pattern.
Designing Cost-sensitive Fuzzy Classification Systems Using Rule-weight
Mansoor Zolghadri Jahromi and Mohammad Reza Moosavi
keywords: Fuzzy Classification Systems; Cost Sensitive Classification; Rule Weight; Data Mining