• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Ljudböcker
  • Pocketböcker
  • Spel och pussel

Pocketfynda! Hundratals böcker för 49 kr/st →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Data och IT
    2. Databaser

    Advances in Intelligent Data Analysis VII

    7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings

    AvMichael R. Berthold,John Shawe-Taylor

    Häftad, Engelska, 2007

    Del i serien Lecture Notes in Computer Science

    559 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Weareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of “bringing together researchers from diverse disciplines,” we believe we have achieved an excellent balance of presentationsfromthemoretheoretical–bothstatisticalandmachinelearning– to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds.

    Produktinformation

    • Utgivningsdatum:2007-08-28
    • Mått:155 x 235 x undefined mm
    • Format:Häftad
    • Språk:Engelska
    • Serie:Lecture Notes in Computer Science
    • Antal sidor:382
    • Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
    • ISBN:9783540748243

    Utforska kategorier

    • Databaser inom Data och IT
    • Artificiell intelligens inom Data och IT

    Innehållsförteckning

    • Statistical Data Analysis.- Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions.- Multiplicative Updates for L 1–Regularized Linear and Logistic Regression.- Learning to Align: A Statistical Approach.- Transductive Reliability Estimation for Kernel Based Classifiers.- Bayesian Approaches.- Parameter Learning for Bayesian Networks with Strict Qualitative Influences.- Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management.- Clustering Methods.- DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation.- Visualising the Cluster Structure of Data Streams.- Relational Topographic Maps.- Ensemble Learning.- Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification.- Combining Bagging and Random Subspaces to Create Better Ensembles.- Two Bagging Algorithms with Coupled Learners to Encourage Diversity.- Ranking.- Relational Algebra for Ranked Tables with Similarities: Properties and Implementation.- A New Way to Aggregate Preferences: Application to Eurovision Song Contests.- Trees.- Conditional Classification Trees Using Instrumental Variables.- Robust Tree-Based Incremental Imputation Method for Data Fusion.- Sequence/ Time Series Analysis.- Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data.- Recurrent Predictive Models for Sequence Segmentation.- Sequence Classification Using Statistical Pattern Recognition.- Knowledge Discovery.- Subrule Analysis and the Frequency-Confidence Diagram.- A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables.- Visualization.- Visualizing Sets of Partial Rankings.- A Partially Supervised Metric Multidimensional Scaling Algorithmfor Textual Data Visualization.- Landscape Multidimensional Scaling.- Text Mining.- A Support Vector Machine Approach to Dutch Part-of-Speech Tagging.- Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering.- Does SVM Really Scale Up to Large Bag of Words Feature Spaces?.- Bioinformatics.- Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers.- Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences.- Soft Topographic Map for Clustering and Classification of Bacteria.- Applications.- Fuzzy Logic Based Gait Classification for Hemiplegic Patients.- Traffic Sign Recognition Using Discriminative Local Features.- Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression.