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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
McNemar      253
McNemar test, bagging vs. boosting      267
McNemar, test      233 250 274
McNemarTest      251
Mean value      see “Centroid”
Media-sharing sites, binary format      9
MegaUpload      9
mergeClusters      139
MergeGoodnessMeasure      149
Meta-algorithm      279
Metaclassifier scheme      174
Metadata, web page      24
Metric      76
Metric, spaces      325
Meyer, Carl      36
Microsoft      15
Microsoft OLE 2 Compound Document      30
Microsoft Word      30
Microsoft Word 2000      30
Microsoft Word 2003      30
Microsoft Word 97      30
Microsoft Word XP      30
Microsoft Word, 97, 2000, XP and 2003      283
Microsoft Word, documents      55
Microsoft Word, documents parsing      55
Microsoft Word, parser      30
Minimum spanning tree      see “MST”
Mining opportunity      280
MinorThird      328
Misclassification, cost      243
Misclassified, news stories      293
Missing attribute value      184
Mixture of experts      256 275
Module, pattern-matching      189
Mortgage      236
Mortgage mess, United States      234
Mortgage rates, teaser      234
Mortgage, application      234
Mortgage, down payment      237
Mortgage, financing      234
Motorcycle ownership      237
MovieLens      107
MovieLens dataset      108
MovieLens dataset, large      116
MovieLens dataset, RMSE      116
MovieLens dataset, small      110
MovieLensData, createDataset      108
MovieLensDelphi      108 113 116
MovieLensItemSimilarity      113
MST      129 139
MST class      140
MST class, Edge      141
MST link algorithm, time complexity      142
MST, algorithms      161
MST, Borvka_fs algorithm      141
MST, chain effect      142
MST, findMinimumEdge      142
MST, Kruskal_fs algorithm      141
MST, randomized algorithm      161
MSTSingleLinkAlgorithm      134
MSWordDocumentParser      55
Multiclass classification      174 178
Multiclass classification, complexity      224
Multidimensional data, ordering      126
Multilingual text      284
MusicData      81
MusicUser      71 73
MusicUser, getSimilarity      72 76
MusicUser, plot      74
MyDiggSpace.com      99
MyDiggSpace.com, case study      99
MyDiggSpace.com, data statistics      100
MyDiggSpace.com, Find friends      100
MyDiggSpaceDataset      146
MySearcher      28 31 43 51
MySpace      2 6 9
MySQL      124
Naive Bayes algorithms      284 288
Naive Bayes algorithms, robustness      51
Naive Bayes classifier      243 267 294
Naive similarity      78
Naive similarity, beta      78
NaiveBayes      48 50 175—176 179 227 244 294 297
NaiveBayes, classification      172
NaiveBayes, classifier      46 48
NaiveBayes, TrainingSet      182
Natural language elements, high-level      288
Natural language processing      see “NLP”
NBCreditClassifier      244 259 266
NBLanguageDetector      284
NBStoryClassifier      294—295 297 299
Neapolitan, Richard E.      173
Nearest neighbor algorithms      129
NekoHTML      30 283
Netflix      3 108—109
Netflix prize, competition      118
Netflix prize, RMSE      116
NetFlix, Cinematch      3
Netflix, movies selection      107
Netflix.com      92
Netscape, Rich Site Summary      14
Network, topology      213
Neural network      169 171 234 258
Neural network classifiers, accuracy      248
Neural network, architecture      203
Neural network, BaseNode      217
Neural network, calculateWeightAdjustments      219
Neural network, connectFully      217
Neural network, credit classifier      247
Neural network, design complexity      249
Neural network, disadvantages      172
Neural network, essential elements      202
Neural network, feedback      202
Neural network, feedforward      202
Neural network, fireNeuron      217
Neural network, fireNeuronDerivative      217
Neural network, fully connected      202
Neural network, layers      202
Neural network, learning rate      217
Neural network, learningRate      217
Neural network, LinearNode      216
Neural network, links      217
Neural network, overview      201
Neural network, SigmoidNode      216
Neural network, structure      216
Neural network, training phase      202
Neural network, updateWeights      219
Neural networks      330
Neural networks, complex valued      331
Neurons      201
news alerts      281
News browser, create and display      291
News browser, window      286
News categories      297 305
News categories, assignment      288
News clustering, analysis      302
News group, clustering robustness      293
News group, groups of      304
News group, juxtaposition      292
News stories      279
News stories, arrangement      290
News stories, misclassified      293
News stories, searching      279
News, content      280
News, portal      279—280
News, topic      297
NewsCategory      297
NewsClusterBuilder      302—303
NewsCrawler      281—282 312
NewsDataset      284 292 301
NewsProcessor      286 295 299
NewsProcessor, training phase      294
NewsStory      297
Niemeyer, Pat      317
Ning      9
NLP      97 281 283
NNCreditClassifier      248 259 266
NNFraudClassifier      203—204 208 210
Nodes, dangling      36 62
Nodes, hidden      201
Noise, elements      153
Noise, levels      240 242—243
Noisy data      259
Nonparametric, correlation      112 119
Nonparametric, method      257
Normal distribution      242
Null hypothesis      250
Numerical representation      130
OASIS      328
Object Management Group      see “OMG”
Octave      331
OIIC      166
OLE      2 283
OMG      168
Online games      10
Ontology      165 167
Ontology, analogy with OOD      167
Ontology, attributes      167
Ontology, concepts      167
Ontology, engineering      165
Ontology, example      167
Ontology, instances      167
Ontology, management      165
Ontology, semantic      167
OpenSocial, premise      8
Oracle      9 15
order of operations      289
Ordering and clustering      124
Ordering, food      2
Ordonez, Carlos      161
Orkut      79
Outlinks      24 35
Overfitting      178 227
Package      194
Page, Larry      34
Pagelinks      282
PageRank      33—45 280 286
PageRank, acceleration techniques      63
PageRank, Aitken extrapolation      63
PageRank, alpha      36
PageRank, alpha coefficient      38
PageRank, alpha effect on convergence      38
PageRank, alpha selection      38
PageRank, approximate aggregation, technique      63
PageRank, calculation      36
PageRank, convergeness and uniqueness      35
PageRank, damping factor      36
PageRank, dangling nodes      36 67
PageRank, direct methods (solvers)      38
PageRank, epsilon effects      42
PageRank, hyperlink matrix      34
PageRank, key idea      34
PageRank, power method      34—35 38
PageRank, primitivity adjustment      36
PageRank, quadratic extrapolation, technique      63
PageRank, random surfer      36
PageRank, scaling      67
PageRank, score scaling      45
PageRank, stochasticity adjustment      36
PageRank, teleportation effect      36 38 67
PageRank, vector      34
PageRankMatrixH      38
Pair-wise classifier comparisons      250
Parsing      30 282
Parti tional algorithm      142
Pattern recognition      9
PDF      30 283
PDF, documents      55
PDF, indexing      30
PDFBox      30 283
PearsonCorrelation      113
PearsonCorrelation, roundoff error      119
Pearson’s r      110
Pearson’s r calculation, singular case      111
Pearson’s r, counterexample      112
Pecuniary aid      234
Perceptions      164
Personalization      46 280
Personalization, temporal effects      47
Personalization, vector      67
Phonetics      327
Phonology      327
PhraseQuery      32
PhraseQuery, slope      32
Plaxo      9
Point density      151
Pointwise deviations      111
Politics news      284
Portal feature, In the News      280
Portals, aggregated content, dispersed      8
PorterStemFilter      178
Posterior probability      184
Posterior probability, heuristics      50
Power laws      45
Power method, acceleration      38
Power method, number of iterations      62
Pragmatics      288 328
PRECISION      221
PredictedNewsStoryRating      311
Prediction, degree of belief      81
PredictWallStreet      3
Preprocessing stage      23
Prerequisites for intelligent applications      11
Prior probability, heuristics      51
Probabilities, conditional      50 182—183
Probabilities, posterior      50
Probabilities, prior      50 182—183
probability      182
Probability of linkage      316
Probability, distribution      251
Processed      282
Processing, natural-language      22
Product-moment correlation, coefficient      110
Production rules      170
ProgrammableWeb      7
Programming, declarative      188
Programming, imperative      188
PROLOG      189
Proximity, relative      134
Proximity, threshold      134—135
Quality assurance      293
Query, context      286
Query, terms      288
Query, “google ads”      47
QueryParser      32
R-trees      158
Random      242
Random, samples      257
Random, surfer      35
Rank      40
Rank correlation      119
Rank, error evaluation      42
Ranking algorithms      286
RapidShare      9
Rating      71
Rating storage, advantages      86
Rating, value range note      81
RatingCountMatrix      84 91
Ratings      308
Ratings, artificial bias      104
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