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Marmanis H., Babenko D. — Algorithms of the intelligent web
Marmanis H., Babenko D. — Algorithms of the intelligent web

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Название: Algorithms of the intelligent web

Авторы: Marmanis H., Babenko D.

Аннотация:

Modern web application hype revolves around a rich UI experience. A lesser-known aspect of modern applications is the use of techniques that enable the intelligent processing of information and add value that can't be delivered by other means. Examples of success stories based on these techniques abound, and include household names such as Google, Netflix, and Amazon. This book describes how to build the algorithms that form the core of intelligence in these applications.
The book covers five important categories of algorithms: search, recommendations, groupings, classification, and the combination of classifiers. A separate book could be written on each of these topics, and clearly exhaustive coverage isn't a goal of this book. This book is an introduction to the fundamentals of these five topics. It's an attempt to present the basic algorithms of intelligent applications rather than an attempt to cover completely all algorithms of computational intelligence. The book is written for the widest audience possible and relies on a minimum of prerequisite knowledge.


Язык: en

Рубрика: Computer science/

Серия: Сделано в холле

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2009

Количество страниц: 345

Добавлена в каталог: 16.05.2011

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
10-fold cross-validation      221
2 distribution      255—256
2 statistic      251 274—275
Abstract syntax tree      see “AST”
Accuracy      221
Accuracy differences      251
Activation rule      203
Adaboost      234 265 267 276
Adaptive resampling      265 276
Adjacency, list      62
Adjacency, matrix      134
Adjustable mortgages      234
Adjustment, primitivity      36
Adjustment, stochasticity      36
Aggarwal, C.C.      160
Agglomerative hierarchical algorithms      129
Aggregated content      5
Aggregating classifiers      263
AI      16
AI, utility problem      190
Aitken extrapolation      63
Algorithms      5
Algorithms, agglomerative hierarchical      129
Algorithms, applicability limitations      18
Algorithms, application context      278
Algorithms, arc-x4      269
Algorithms, average-length      137
Algorithms, average-link      138
Algorithms, BIRCH      131
Algorithms, Borvka_fs      141
Algorithms, classification      164
Algorithms, clustering      302
Algorithms, computational time estimation      19
Algorithms, constrained clustering      130
Algorithms, density-based      151
Algorithms, divisive hierarchical      129
Algorithms, Expectation-Maximization      161
Algorithms, gradient-descent learning      218
Algorithms, graph theoretic      139
Algorithms, k-means      142
Algorithms, KISS      19
Algorithms, Kruskaljs      141
Algorithms, link-based      132
Algorithms, NaiveBayes      172
Algorithms, nearest neighbor      129
Algorithms, parallelization      18
Algorithms, partitional      129 142
Algorithms, ranking      286
Algorithms, regression      172
Algorithms, Rete      192
Algorithms, ROCK      147 300
Algorithms, scalability      18
Algorithms, single-link      135
Algorithms, SQLEM      161
Algorithms, structural      171
Alpha      62
Amazon.com      108—109
Amazon.com, among first with recommendations      3
Amazon.com, item to item approach      92
Analysis, link      22
Analysis, user click      22 33
Analyzer, lexical      31
analyzing      30 282
AND      227
Android      287
Anscombe’s quartet      112
ANTLR      193
Apache axis      15
Apache CXF, supports numerous standards      15
Apache POI project      30 283
Apache Shindig      9
Application intelligence      279
arc-fs      276
arc-x4      234 265 267 276
arc-x4 algorithms      269
arc-x4 algorithms, crux      271
arc-x4 algorithms, fourth power      271
Arcing      265
Armstrong, Lance      23 175
arrays, sorting      125
Arthur, David      145
Artificial data      241
Artificial data, generation      239
artificial intelligence      see “AI”
assignTopicToCluster      297—298
assignTopicToStory      297 299
Assumption of independence      254
AST      193
atom      13
Atom, not RFD-based      14
Atom, syndication format      14
Attribute      175
Attribute selection      273
Attribute selection, news portal      313
Automatic categorization      174
Average distance      137
Average-link algorithm      137—138
AverageLinkAlgorithm      134
Back propagation algorithms, termination conditions      218
Backward chaining      189
BadUserType      239
Bagging      257 263
Bagging, algorithm      258
Bagging, data diversity      258
Bagging, independent classifiers      265
Bagging, premise of      258
Bagging, tweaks      260
Bagging, tweaks and tips      276
BaggingCreditClassifier      258—260
BaggingCreditClassifier, accuracy and execution time      259
Bankruptcy, significance      235
Base recommenders, enhancement      107
BaseConcept      297
BaseLayer      216
Baselnstance      178 297
BaseNN      208 213—214
Basic search, load, index, search      24
BasicWebCrawler      27 282
Bayes theorem      49 172 182 227
Bayes theorem formula, output      184
Bayes theorem input probability, evidence      48
Bayes theorem input probability, likelihood      48
Bayes theorem input probability, prior probability      48
Bayes theorem output probability, posterior probability      49
Bayes theorem, attribute independence, assumption      183
Bayes theorem, conditional probability      182
Bayes theorem, evidence      182
Bayes theorem, likelihood      182
Bayes theorem, naive assumption      51
Bayes theorem, posterior probability      182
Bayes theorem, prior probability      182
Bayesian, belief networks      182
Bayesian, networks      172
Bayesian, neural networks      330
BeanShell      317
Bernoulli process      221
Beyer, Kevin      160
Bias vs. generalization      19
Binary classification      174 178
Binary information, difficulty in processing      9
BIRCH, algorithm      131
BIRCH, clustering algorithm      158
Black box trap      205
Black — Sholes option pricing model      331
Boltzmann machines      330
Boorah      13
BoostCreditClassifier      267
Boosting      234 265
Boosting, computational performance      267
Boosting, main idea      265
Boosting, strategy      67
BoostingARCX4Classifier      268—269
BoostingCreditClassifier      268
Bootstrap      222 257
Bootstrap, aggregating      234 257
Bootstrap, process      258
BootstrapTrainingSetBuilder      261 276
Borvka, Otaker      161
Borvka_fs algorithm      141
Bradley, Paul S.      131
Breiman, Leo      265
Brin, Sergey      33
BSD license      30
Building intelligence      12
Business news      284
C5.0      171
Calculation of similarity      84
Car ownership      236
categorical data      130
Categories      164
Categories, internet newsgroups      166
Categories, newspaper articles      166
Categories, restaurant menu      166
Categorization, automatic      174
Categorization, email      187
Celtix by IONA      see “Apache CXF”
Centroid      142
Centroid, initial selection      145
Centroid, role      143
Cereghini, Paul      161
CF      80
CF, item based      89
CF, requirements      80
CFOI      166
Chain effect      142
Chebyshev polynomial      63
Chi-square      251 274
Chi2      251
Chronological age      235
Cinematch      3 107
City block metric      118
CJK, tokenizing      31
Classification      48 289
Classification accuracy, statistically insignificant      258
Classification attributes, large number effect      166
Classification system, CFOI      166
Classification system, ICD-10      166
Classification system, Library of Congress      166
Classification system, Linnaean      166
Classification system, OIIC      166
Classification system, Schatzker      166
Classification system, SOII      166
Classification training, attribute value coverage      223
Classification training, representative data      223
Classification training, scaling characteristics      224
Classification training, statistical assessment      224
Classification, algorithms      164—165
Classification, binary      169 174 178
Classification, content noise reduction      293
Classification, continuous values      169
Classification, correct      243
Classification, cost      221
Classification, cross-referencing      304
Classification, data noise effects      206
Classification, discrete values      169
Classification, distance-based algorithms      169
Classification, email      228
Classification, erroneous      243
Classification, flat class structure      169
Classification, forecasting      169
Classification, generalization vs. specialization      178
Classification, groups of instances      294
Classification, hierarchical class, structure      169
Classification, majority vote rule      295
Classification, multiclass      169 174 178
Classification, neural networks      165 169
Classification, news categories      294
Classification, newsgroups      294
Classification, order effect      288
Classification, overview      169
Classification, performance characteristics      250
Classification, region of influence      233
Classification, regression algorithms      169
Classification, representative news story      299
Classification, rule-based      188
Classification, rule-based algorithms      169
Classification, runtime      250
Classification, runtime performance      224
Classification, specialization vs. generalization      178
Classification, statistical algorithms      169 172
Classification, strategy      288
Classification, structural algorithms      169—170
Classification, training time      250
Classification, utility problem      225
Classification, wrong decision impact      222
ClassificationStrategy      297 314
ClassificationStrategyImpl      294—295 297 299 314
Classifier ensemble, incremental growth      265
Classifier training, user clicks      48
ClassifierEnsemble      260—261 263 268 271
ClassifierResults      251
Classifiers      48
Classifiers, aggregating      263
Classifiers, combination      232
Classifiers, comparison      233
Classifiers, decision tree      266
Classifiers, ensembles      263
Classifiers, fusion      232
Classifiers, lifecycle stages      173
Classifiers, metaclasser scheme      173
Classifiers, pair-wise comparisons      250
Classifiers, selection      232 256 275
Classifiers, sensitivity      207
Classifiers, stable      245
Classifiers, training stage      173
Classifiers, unstable      245 258
Classifiers, validation stage      173
Classify-cluster approach      293
Classify-Cluster-DS      292
ClassifyClusters      299
ClassifyStories      299
Cleansing news stories      285
Clearspring      9
Clementine      171
CLIPS      170
Cluster centroid, center of mass analogy      143
Cluster formation, goodness      315
Cluster, discovery      125
Cluster, formations      140
Cluster, invariance      306
Cluster, structure      128
Cluster-classify approach      293
Cluster-Classify-DS      292
Clustering      289
Clustering algorithm, BIRCH      158
Clustering algorithm, combinations      162
Clustering and ordering      124
Clustering applications, creation of social networks      122
Clustering applications, like-minded individuals      122
Clustering applications, targeted advertisement      122
Clustering attribute, age      123
Clustering attribute, education level      123
Clustering attribute, income range      123
Clustering attribute, paid participation      123
Clustering attribute, professional skills      123
Clustering attribute, social relationship rating      123
Clustering by age      127
Clustering by cluster structure      129
Clustering by data size      131
Clustering by data structure      130
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