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lgli/Cs_Computer science/CsLn_Lecture notes/A/Advances in Intelligent Data Analysis, 3 conf., IDA-99(LNCS1642, Springer, 1999)(ISBN 3540663320)(528s)_CsLn_.pdf

Advances in Intelligent Data Analysis: Third International Symposium, Ida-99, Amsterdam, the Netherlands, August 9-11, 1999: Proceedings (Lecture Notes in Computer Science) Marc Sebban, Gilles Richard (auth.), David J. Hand, Joost N. Kok, Michael R. Berthold (eds.) Springer-Verlag Berlin Heidelberg, Lecture Notes in Computer Science, Lecture Notes in Computer Science 1642, 1, 1999

This book constitutes the refereed proceedings of the Third International Symposium on Intelligent Data Analysis, IDA-99 held in Amsterdam, The Netherlands in August 1999. The 21 revised full papers and 23 posters presented in the book were carefully reviewed and selected from a total of more than 100 submissions. The papers address all current aspects of intelligent data analysis; they are organized in sections on learning, visualization, classification and clustering, integration, applications and media mining.

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英语 [en] · PDF · 9.0MB · 1999 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

base score: 11065.0, final score: 17473.303

scihub/10.1007/3-540-48412-4.pdf

Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, the Netherlands, August 9-11, 1999 : proceedings Marc Sebban, Gilles Richard (auth.), David J. Hand, Joost N. Kok, Michael R. Berthold (eds.) Springer Berlin Heidelberg : Imprint: Springer, Springer Nature, Berlin, Heidelberg, 2003

This Book Constitutes The Refereed Proceedings Of The Third International Symposium On Intelligent Data Analysis, Ida-99 Held In Amsterdam, The Netherlands In August 1999. The 21 Revised Full Papers And 23 Posters Presented In The Book Were Carefully Reviewed And Selected From A Total Of More Than 100 Submissions. The Papers Address All Current Aspects Of Intelligent Data Analysis; They Are Organized In Sections On Learning, Visualization, Classification And Clustering, Integration, Applications And Media Mining.

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英语 [en] · PDF · 12.0MB · 2003 · 📘 非小说类图书 · 🚀/lgli/scihub/zlib · Save

base score: 11065.0, final score: 17460.973

ia/advancesinintell0000ida9.pdf

Advances in Intelligent Data Analysis: Third International Symposium, Ida-99, Amsterdam, the Netherlands, August 9-11, 1999: Proceedings (Lecture Notes in Computer Science) David J Hand; Joost N. Kok; Michael R. Berthold Springer Berlin Heidelberg : Imprint: Springer, Springer Nature, Berlin, Heidelberg, 2003

Formanyyearstheintersectionofcomputing Anddataanalysiscontainedme- Based Statistics Packages And Not Much Else. Recently, Statisticians Have - Braced Computing, Computer Scientists Have Started Using Statistical Theories And Methods, And Researchers In All Corners Have Invented Algorithms To Nd Structure In Vast Online Datasets. Data Analysts Now Have Access To Tools For Exploratory Data Analysis, Decision Tree Induction, Causal Induction, Function - Timation,constructingcustomizedreferencedistributions,andvisualization,and Thereareintelligentassistantsto Adviseonmatters Ofdesignandanalysis.there Aretoolsfortraditional,relativelysmallsamples,andalsoforenormousdatasets. In All, The Scope For Probing Data In New And Penetrating Ways Has Never Been So Exciting. The Ida-99 Conference Brings Together A Wide Variety Of Researchers C- Cerned With Extracting Knowledge From Data, Including People From Statistics, Machine Learning, Neural Networks, Computer Science, Pattern Recognition, Da- Base Management, And Other Areas.the Strategiesadopted By People From These Areas Are Often Di Erent, And A Synergy Results If This Is Recognized. The Ida Series Of Conferences Is Intended To Stimulate Interaction Between These Di Erent Areas,sothatmorepowerfultoolsemergeforextractingknowledgefromdataand A Better Understanding Is Developed Of The Process Of Intelligent Data Analysis. The Result Is A Conference That Has A Clear Focus (one Application Area:intelligent Data Analysis) And A Broad Scope (many Di Erent Methods And Techniques). Learning -- From Theoretical Learnability To Statistical Measures Of The Learnable -- Alm: A Methodology For Designing Accurate Linguistic Models For Intelligent Data Analysis -- A “top-down And Prune” Induction Scheme For Constrained Decision Committees -- Mining Clusters With Association Rules -- Evolutionary Computation To Search For Strongly Correlated Variables In High-dimensional Time-series -- The Biases Of Decision Tree Pruning Strategies -- Feature Selection As Retrospective Pruning In Hierarchical Clustering -- Discriminative Power Of Input Features In A Fuzzy Model -- Learning Elements Of Representations For Redescribing Robot Experiences -- “seeing“ Objects In Spatial Datasets -- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models For Pseudo-periodic Communication Traffic -- Visualization -- Monitoring Human Information Processing Via Intelligent Data Analysis Of Eeg Recordings --^ Knowledge-based Visualization To Support Spatial Data Mining -- Probabilistic Topic Maps: Navigating Through Large Text Collections -- 3d Grand Tour For Multidimensional Data And Clusters -- Classification And Clustering -- A Decision Tree Algorithm For Ordinal Classification -- Discovering Dynamics Using Bayesian Clustering -- Integrating Declarative Knowledge In Hierarchical Clustering Tasks -- Nonparametric Linear Discriminant Analysis By Recursive Optimization With Random Initialization -- Supervised Classification Problems: How To Be Both Judge And Jury -- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification -- Exploiting Similarity For Supporting Data Analysis And Problem Solving -- Multiple Prototype Model For Fuzzy Clustering -- A Comparison Of Genetic Programming Variants For Data Classification -- Fuzzy Clustering Based On Modified Distance Measures -- Building Classes In Object-based Languages By Automatic Clustering -- Integration --^ Adjusted Estimation For The Combination Of Classifiers -- Data-driven Theory Refinement Using Kbdistal -- Reasoning About Input-output Modeling Of Dynamical Systems -- Undoing Statistical Advice -- A Method For Temporal Knowledge Conversion -- Applications -- Intrusion Detection Through Behavioral Data -- Bayesian Neural Network Learning For Prediction In The Australian Dairy Industry -- Exploiting Sample-data Distributions To Reduce The Cost Of Nearest-neighbor Searches With Kd-trees -- Pump Failure Detection Using Support Vector Data Descriptions -- Data Mining For The Detection Of Turning Points In Financial Time Series -- Computer-assisted Classification Of Legal Abstracts -- Sequential Control Logic Inferring Method From Observed Plant I/o Data -- Evaluating An Eye Screening Test -- Application Of Rough Sets Algorithms To Prediction Of Aircraft Component Failure -- Media Mining -- Exploiting Structural Information For Text Classification On The Www --^ Multi-agent Web Information Retrieval: Neural Network Based Approach -- Adaptive Information Filtering Algorithms -- A Conceptual Graph Approach For Video Data Representation And Retrieval. David J. Hand, Joost N. Kok, Michael R. Berthold (eds.).

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英语 [en] · PDF · 32.8MB · 2003 · 📗 未知类型的图书 · 🚀/ia · Save

base score: 11068.0, final score: 17460.684

lgli/N:\libgen djvu ocr\305000\13f272d240a580f2d64aaf0e8055c206-ocr.djvu

Элементы численного анализа и математической обработки результатов опыта Гутер Р.С., Овчинский Б.В. Наука, 2, 1970

Книга состоит из трех частей. Первая часть содержит основные методы вычислительной математики: приближенное решение уравнений и систем, простейшие задачи линейной алгебры, параболическую интерполяцию, численное интегрирование и решение дифференциальных уравнений. Вторая часть посвящена теории вероятностей в объеме, предусмотренном общей программой втузов. В третьей части рассматривается теория ошибок наблюдений, интерполяция по способу наименьших квадратов, а также выражение наблюденных данных уравнениями (подбор эмпирических формул). Излагаемый материал сопровождается разбором примеров вычислений и обработки опытных данных. Книга предназначается в качестве учебного пособия для студентов втузов по вычислительной математике и теории вероятностей и может быть использована инженерами, преподавателями специальных кафедр и научными сотрудниками в области технических наук. В книге 66 рисунков, 106 таблиц.

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英语 [en] · 俄语 [ru] · DJVU · 7.8MB · 1970 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

base score: 11055.0, final score: 17460.006

lgli/T:\lg_torr_restore_lg\305000/13f272d240a580f2d64aaf0e8055c206..djvu

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英语 [en] · 俄语 [ru] · DJVU · 6.8MB · 1970 · 📘 非小说类图书 · 🚀/lgli/lgrs · Save

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base score: 0.01, final score: 6.926334