Ana L. N. Fred
Proceedings of the First International Conference on Knowledge Discovery and Information Retrieval
KDIR, 2009.

@proceedings{KDIR-2009,
	address       = "Madeira, Portugal",
	editor        = "Ana L. N. Fred",
	isbn          = "978-989-674-011-5",
	publisher     = "{INSTICC Press}",
	title         = "{Proceedings of the First International Conference on Knowledge Discovery and Information Retrieval}",
	year          = 2009,
}

Contents (55 items)

8 ×#using
7 ×#mining
6 ×#multi
5 ×#classification
5 ×#information management
5 ×#semantics
4 ×#clustering
4 ×#modelling
4 ×#named
4 ×#retrieval

KDIR-2009-Dengel #information management #semantics

The Semantic Desktop as a Means for Personal Information Management (AD), p. 5.

KDIR-2009-Ivanko #complexity

A Simple Measure of the Kolmogorov Complexity (EI), pp. 5–9.

KDIR-2009-Fathi #information management #modelling #nondeterminism

Modelling Uncertainties in Advanced Knowledge Management (MF), pp. 7–8.

KDIR-2009-Jensen #design #information management

Knowledge Discovery by Design (DJ), p. 9.

KDIR-2009-GuoK #ontology #using

Discovering Relationship Associations in Life Sciences using Ontology and Inference (WG, SBK), pp. 10–17.

KDIR-2009-Kirsch #implementation

KM Implementation Strategy (DK), p. 11.

KDIR-2009-Staab #ontology

Networked Ontologies (SS), p. 13.

KDIR-2009-Zhan #collaboration #data mining #mining #privacy

Privacy-Preserving Collaborative Data Mining (JZ), p. 15.

KDIR-2009-LitzLM #information management

Trigrams’n’Tags for Lexical Knowledge Acquisition (BL, HL, RM), pp. 18–25.

KDIR-2009-WangVH #documentation #probability #retrieval #using

Document Retrieval using a Probabilistic Knowledge Model (SW, SV, MH), pp. 26–33.

KDIR-2009-TsakonasD #estimation #modelling #programming #search-based

Deriving Models for Software Project Effort Estimation by Means of Genetic Programming (AT, GD), pp. 34–42.

KDIR-2009-KiranR #approach

An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules (RUK, PKR), pp. 43–52.

KDIR-2009-Abbadeni #multi #representation #retrieval

Texture Representation and Retrieval based on Multiple Strategies (NA), pp. 53–61.

KDIR-2009-GabadinhoRSM #category theory #sequence #set #visualisation

Summarizing Sets of Categorical Sequences — Selecting and Visualizing Representative Sequences (AG, GR, MS, NSM), pp. 62–69.

KDIR-2009-SzekelyBM #clustering

Unsupervised Discriminant Embedding in Cluster Spaces (ES, EB, SMM), pp. 70–76.

KDIR-2009-SaneifarBLPR #mining

Mining for Relevant Terms from Log Files (HS, SB, AL, PP, MR), pp. 77–84.

KDIR-2009-DuarteDRF #clustering #consistency #using

Cluster Ensemble Selection — Using Average Cluster Consistency (FJFD, JMMD, FR, ALNF), pp. 85–95.

KDIR-2009-NettletonMM #case study #evaluation #image #internet #user study

User Study of the Assignment of Objective and Subjective Type Tags to Images in Internet — Evaluation for Native and non Native English Language Taggers (DFN, MCM, BML), pp. 99–104.

KDIR-2009-FujimotoHM #modelling #visualisation

Item-user Preference Mapping with Mixture Models — Data Visualization for Item Preference (YF, HH, NM), pp. 105–111.

KDIR-2009-GoyalBM #query #using

Entailment of Causal Queries in Narratives using Action Language (PG, LB, TMM), pp. 112–118.

KDIR-2009-FatemiPRS #concept #mining #retrieval #semantics #using #video

Using Association Rule Mining to Enrich Semantic Concepts for Video Retrieval (NF, FP, LER, AFS), pp. 119–126.

KDIR-2009-PaquetV #2d #3d #multi #product line #realtime

Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching (EP, HLV), pp. 127–133.

KDIR-2009-Weichselbraun #approach #optimisation

A Utility Centered Approach for Evaluating and Optimizing Geo-tagging (AW), pp. 134–139.

KDIR-2009-EnguixDJ #mining #natural language

DNA and Natural Languages — Text Mining (GBE, VD, MDJL), pp. 140–145.

KDIR-2009-GhemtioSDSM #approach #design

A KDD Approach for Designing Filtering Strategies to Improve Virtual Screening (LG, MST, MDD, MS, BM), pp. 146–151.

KDIR-2009-PenaVP #data mining #mining

Explorative Data Mining for the Sizing of Population Groups (IP, HLV, EP), pp. 152–159.

KDIR-2009-Chmielewski #3d #concept #interactive #interface #metadata

Building Extensible 3D Interaction Metadata with Interaction Interface Concept (JC), pp. 160–167.

KDIR-2009-LamB #categorisation #invariant #multi #using

Invariant Categorisation of Polygonal Objects using Multi-resolution Signatures (RL, JMHdB), pp. 168–173.

KDIR-2009-BalujaRS #classification #graph #performance

Text Classification through Time — Efficient Label Propagation in Time-Based Graphs (SB, DR, DS), pp. 174–182.

KDIR-2009-KulkarniC #concept #semantics #using #word

Computation of the Semantic Relatedness between Words using Concept Clouds (SK, DC), pp. 183–188.

KDIR-2009-FilhoRM #multi #named

XHITS — Multiple Roles in a Hyperlinked Structure (FBF, RPR, RLM), pp. 189–195.

KDIR-2009-Exman #composition #named #paradigm

Interestingness — A Unifying Paradigm — Bipolar Function Composition (IE), pp. 196–201.

KDIR-2009-VillalbaC #biology #case study #classification #generative #reduction

Artificial Data Generation for One-class Classification — A Case Study of Dimensionality Reduction for Text and Biological Data (SDV, PC), pp. 202–210.

KDIR-2009-KimRM #retrieval #semantics #using

A Patent Retrieval Method using Semantic Annotations (YK, JR, SHM), pp. 211–218.

KDIR-2009-Schommer #community

An Artificial Molecular Model to Foster Communities (CS), pp. 219–222.

KDIR-2009-HeyerHT #topic

Change of Topics over Time — Tracking Topics by their Change of Meaning (GH, FH, ST), pp. 223–228.

KDIR-2009-Fernandez-FernandezG #mining #query #taxonomy #topic

Hierarchical Taxonomy Extraction by Mining Topical Query Sessions (MFF, DGA), pp. 229–235.

KDIR-2009-Biryukov #database #detection #topic

Topic Detection in Bibliographic Databases (MB), pp. 236–242.

KDIR-2009-WohrerZDB #composition #data mining #metaprogramming #mining #optimisation #towards

Unboxing Data Mining Via Decomposition in Operators — Towards Macro Optimization and Distribution (AW, YZ, EuHD, PB), pp. 243–248.

KDIR-2009-BruyneP #classification

2-class Eigen Transformation Classification Trees (SDB, FP), pp. 251–258.

KDIR-2009-SchmidtGG #information management

Language Technology for Information Systems (PS, MG, GG), pp. 259–262.

KDIR-2009-Fang #development #gender

Development and Application of a Roach Gene Regulation Profile based Gender Discrimination Method (YF), pp. 263–269.

KDIR-2009-LopesPCO #crawling #named #web

Arabella — A Directed Web Crawler (PL, DP, DC, JLO), pp. 270–273.

KDIR-2009-LopesAO #architecture #integration

Link Integrator — A Link-based Data Integration Architecture (PL, JA, JLO), pp. 274–277.

KDIR-2009-ClementeDCR #behaviour #classification #image

Behavior of Different Image Classifiers within a Broad Domain (BC, MLD, AC, PGR), pp. 278–283.

KDIR-2009-Perez-LainezIP #documentation #named

Anonimytext: Anonimization of Unstructured Documents (RPL, AI, CdPS), pp. 284–287.

KDIR-2009-GrosserRC #classification

Classification by Successive Neighborhood (DG, HR, NC), pp. 288–291.

KDIR-2009-CamposDJ #clustering #topic #web

Disambiguating Web Search Results by Topic and Temporal Clustering — A Proposal (RC, GD, AMJ), pp. 292–296.

KDIR-2009-PiedadeS #education #student

Business Intelligence in Higher Education — Managing the Relationships with Students (MBP, MYS), pp. 297–302.

KDIR-2009-SilvestreCF #category theory #clustering #modelling

Selecting Categorical Features in Model-based Clustering (CMVS, MMGSC, MATF), pp. 303–306.

KDIR-2009-CallejaFGA #learning #set

A Learning Method for Imbalanced Data Sets (JdlC, OF, JG, RMAP), pp. 307–310.

KDIR-2009-ValiatiTGGBT #multi #taxonomy #visualisation

Multidimensional Information Visualization Techniques — Evaluating a Taxonomy of Tasks with the Participation of the Users (ERdAV, JT, AFG, MAG, LLB, JRT), pp. 311–314.

KDIR-2009-SciarroneS #multi #ontology #reuse #semantics

Ontological Warehousing on Semantically Indexed Data — Reusing Semantic Search Engine Ontologies to Develop Multidimensional Schemas (FS, PS), pp. 315–318.

KDIR-2009-KharratZPF #evolution

Characterizing the Traffic Density and Its Evolution through Moving Object Trajectories (AK, KZ, ISP, SF), pp. 319–322.

KDIR-2009-ZhouZK #collaboration #learning

The Collaborative Learning Agent (CLA) in Trident Warrior 08 Exercise (CZ, YZ, CK), pp. 323–328.