Search engines, link analysis, and user's web behavior: [a unifying web mining approach]
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2008
|
| Series: | Studies in Computational Intelligence
99 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIX, 269 S. graph. Darst. |
| ISBN: | 9783540774686 9783540774693 |
Staff View
MARC
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| 015 | |a 08,N02,0073 |2 dnb | ||
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| 020 | |a 9783540774686 |c Gb. : EUR 139.05 (freier Pr.), sfr 226.50 (freier Pr.) |9 978-3-540-77468-6 | ||
| 020 | |a 9783540774693 |c Gb. : EUR 139.05 (freier Pr.), sfr 226.50 (freier Pr.) |9 978-3-540-77469-3 | ||
| 024 | 3 | |a 9783540774686 | |
| 035 | |a (OCoLC)191923950 | ||
| 035 | |a (DE-599)DNB986682012 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE-BE | ||
| 049 | |a DE-N2 |a DE-12 |a DE-83 |a DE-11 |a DE-2070s |a DE-355 |a DE-188 | ||
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| 100 | 1 | |a Meghabghab, George |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Search engines, link analysis, and user's web behavior |b [a unifying web mining approach] |c George Meghabghab ; Abraham Kandel |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2008 | |
| 300 | |a XIX, 269 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Studies in Computational Intelligence |v 99 | |
| 650 | 7 | |a Computersimulaties |2 gtt | |
| 650 | 7 | |a Internet |2 gtt | |
| 650 | 7 | |a Search engines |2 gtt | |
| 650 | 7 | |a Zoekproces |2 gtt | |
| 650 | 4 | |a Internet users | |
| 650 | 4 | |a Web usage mining | |
| 650 | 0 | 7 | |a WebGraph |0 (DE-588)7614313-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Hyperlink |0 (DE-588)4617682-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Benutzermodell |0 (DE-588)4343329-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Information Retrieval |0 (DE-588)4072803-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Benutzerverhalten |0 (DE-588)4122898-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Suchmaschine |0 (DE-588)4423007-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a World Wide Web |0 (DE-588)4363898-3 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Suchmaschine |0 (DE-588)4423007-2 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a WebGraph |0 (DE-588)7614313-2 |D s |
| 689 | 1 | 1 | |a Hyperlink |0 (DE-588)4617682-2 |D s |
| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a World Wide Web |0 (DE-588)4363898-3 |D s |
| 689 | 2 | 1 | |a Information Retrieval |0 (DE-588)4072803-1 |D s |
| 689 | 2 | 2 | |a Benutzermodell |0 (DE-588)4343329-7 |D s |
| 689 | 2 | 3 | |a Benutzerverhalten |0 (DE-588)4122898-4 |D s |
| 689 | 2 | |5 DE-604 | |
| 700 | 1 | |a Kandel, Abraham |d 1941- |e Verfasser |0 (DE-588)12865242X |4 aut | |
| 830 | 0 | |a Studies in Computational Intelligence |v 99 |w (DE-604)BV020822171 |9 99 | |
| 856 | 4 | 2 | |m Digitalisierung BSBMuenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016370936&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-016370936 | ||
| 942 | 1 | 1 | |c 020 |e 22/bsb |f 090511 |
Record in the Search Index
| _version_ | 1804137453241499648 |
|---|---|
| adam_text | Index
α
cuts,
150, 153, 154, 158, 159, 258
algorithms,
227
HITS,
49-51, 53, 55, 58, 59, 68
Interior point method,
227, 251
PageRank,
72, 74-76
Alta
Vista,
85, 93, 94, 96, 99, 102
ANN,
84-86, 94, 102
authorities,
47-50, 52, 54, 58, 61-64, 67,
68,70
authority weight,
50
backpropagation,
229, 232, 233
Barrier Function,
227
Behavior,
105
Human,
105
Modeling,
105
Web,
105
bow tie graph,
253, 254, 258
bow tie similar,
260
centrality score,
254, 255, 258, 260
Citation analysis,
47, 56
Crisp bags,
136, 138, 139, 143, 144, 159
eigenvalue,
48, 52-55, 57, 58, 60, 61
eigenvector,
48, 51-55, 57, 58, 60, 61, 67
FCM,
118-120, 122, 123, 127-129,
132-136
Information constraints,
108, 118, 119
browse oriented,
118, 122-133
browsing,
118-121, 123-126, 128-135
correlation encoding,
118, 125, 129,
134
differential hebbian learning,
118,
120, 123, 125, 130, 133
failure,
119-122, 125, 126, 128, 129,
131-135
relevance,
135
search oriented,
118, 122-124,
126-133
searching,
118-120, 122-135
success,
118-136
Time constraints,
108, 118-120, 135,
180
FCS,
260
fuzzy bags,
136-138, 144-151, 153, 154,
156, 158-161
Association,
151
difference,
149, 150, 154, 156
Fuzzy Cardinalities,
149
distance,
136, 150
Fuzzy Cardinalities,
149
intersection,
146, 153, 154
fuzzy numbers,
154
measure of
simulanty,
150
Fuzzy centrality score,
257-259
reflexive,
259
symmetric,
259
transitive,
259
fuzzy concepts,
253, 257
fuzzy sets,
118, 120, 144, 159
Fuzzy Similarity Measure,
253, 254, 257
e
Bow Tie similar,
254, 257
268
Index
google,
1, 2, 8, 10-15, 18, 69, 71, 72,
76-81, 85, 93-95, 99, 102, 135
graph,
25, 26, 225, 226
anti-symmetric,
27, 225, 226
not symmetric,
26, 225, 226
reflexive,
25, 26, 225, 226
symmetric,
25, 225
transitive,
26, 225, 226
graph of likely,
255
graph of probable,
255
HITS,
69, 70
bipartite graph,
49, 50, 59, 60, 62
bow tie graph,
61-64, 66
complete bipartite Graph,
58
complete bipartite graph,
58, 61
conjecture
1, 51, 54, 57, 60
conjecture
2, 51, 54, 56, 58, 59, 61, 67
conjecture
3, 51, 52, 54, 56, 58-61, 67
General Graphs,
51, 52, 54, 57, 62
In-degree Graph,
53, 54
Out-degree Graphs,
55, 56
hubs,
47-50, 52, 54, 58, 62-64, 67, 68,
70
hub weight,
50
hyperlinks,
7, 8, 23-25, 48, 68, 85,
103-105, 138, 153-155, 159-161,
165, 180, 192, 204, 209
inexact Hessian,
229, 230, 232
Information Theory,
261, 262
production line problem,
262
interior point method
linear,
232
linear programming,
90
Link,
47
Analysis,
47
Linear Algebra,
48
authorities,
23, 24
Graphs,
47
Bipartite,
30, 32, 34, 35, 40
Bow Tie,
35, 36, 38-40
Complete Bipartite,
32, 34, 35, 45
general,
34, 35, 45
In-degree,
31, 34, 35, 45
Out-degree,
24, 32, 34, 35, 45
hubs,
23, 24
meta-model approach,
86, 92, 93, 101,
102
inputs for the simulation,
93
Boolean logic,
93, 95
Coverage,
85, 93-95, 101, 102
Overlap,
93, 94
Portion of the Web pages indexed,
93
Precision,
93, 94
Response time,
83, 85, 93, 94, 101
Truncation,
93, 95
output variable, i.e., proportion of
rejected Web pages,
85, 93
Multidimensional Fuzzy Bags,
151
Multidimensional fuzzy bags,
136, 138,
151-154, 160
difference,
138, 154
Connan,
156
Fuzzy Cardinalities,
156
Meghabghab,
158
Yager,
154
intersection
a cuts,
153
Yager,
153
Northern Light,
85, 93, 94, 98, 102
One dimensional fuzzy bags,
144, 159
difference,
146-148
intersection,
145
a cuts,
146
PageRank,
69-72, 74-77, 81
Algorithms,
69
bipartite graphs,
72, 76, 77, 81
Theorem
4, 76, 77
will not work,
76
bow tie graph,
77-81
complete bipartite graphs,
72, 73, 77,
81
same tree level,
72
Theorem
1, 72
General graphs,
76, 77, 81
Theorem
5, 76, 77
will not work,
76
Graphs,
69
in-degree graphs,
72, 75-77, 81
same tree level,
75
Theorem
3, 75, 77
Index
269
Modified google s ranking,
77
out-degree graphs,
71, 72, 74, 75, 77,
81
same sub-tree level,
74
Theorem
2, 74, 77
Readjusted Google s Ranking,
81
topology-dependent,
70
RBF neural networks,
85, 86, 101, 102
training,
83, 84, 86-88, 90, 92, 93, 95,
96, 98-102, 104
with CCSW using GD,
88, 97, 98
with CCSW using IPM,
90, 97, 98
without CCSW,
87, 97, 98
regression,
235, 236, 238-241, 243-251
Factorial,
245-247, 250
Linear,
227-230, 232, 233, 235, 236,
238, 239, 241, 243, 244, 249
Multiple,
244, 245, 247, 249, 251
Polynomial,
230, 240, 241, 243, 244,
247-249, 251
Quadratic Response Surface,
247,
248, 251
Regression Models approach,
94
linear regression models,
85, 95
first order linear equation,
96
second order linear equation,
96
Rough Set,
162, 163, 165-168, 170,
177, 180, 182-184, 192, 193, 195,
205-208, 210-212
attributes,
144, 159, 161-168, 172,
174-182, 187, 191-193, 198, 199,
202, 203, 206, 208, 210-213
Decision Rules,
162, 170, 180, 184,
191, 195, 203, 213, 214
Deterministic,
162, 173, 174, 177,
179, 180, 186, 187, 189, 191, 197,
199, 200, 202, 203, 205-208, 210,
211
Non
Deterministic,
162, 180, 191,
203
Discernibility Function,
174, 179, 187,
198, 202
Discernibility Matrix,
174, 187, 198
reduct,
172, 176-179, 188-190,
199-202, 213
Rough Set theory,
266
production line problem,
266
Simulations,
83
Engines,
83
Search,
83
Stochastic,
83
uni-variable query,
143, 160
Web,
1-12, 14, 15, 17, 19, 23-32, 34-36,
45, 47-56, 58-60, 67-72, 76, 77,
81, 84, 85, 93-95, 99,101-108, 110,
111,
114, 115, 117-121, 123, 129,
132, 136-140, 142-144, 146-148,
150, 151, 153-156, 158-163, 165,
170, 180, 181, 191, 192, 203, 204,
206-212, 225, 226, 244, 245, 261
graph
adjacency matrix,
25, 27, 28, 41, 42
id vector,
34, 35
Incidence Matrix,
29
od
vector,
34, 35
Topological Difference,
34
page,
23-32, 35, 36, 45
Graph Theory,
23, 24, 29
id vector,
26, 28, 31
measure of similarity,
25
od
vector,
26, 28, 31, 32
WWW,
1, 7, 24, 28, 30, 45, 68, 84-86,
93, 94, 102-104
page,
225, 226, 241, 244, 253, 261
yahoo,
8, 13, 14, 85, 93, 94, 98, 99, 102
|
| adam_txt |
Index
α
cuts,
150, 153, 154, 158, 159, 258
algorithms,
227
HITS,
49-51, 53, 55, 58, 59, 68
Interior point method,
227, 251
PageRank,
72, 74-76
Alta
Vista,
85, 93, 94, 96, 99, 102
ANN,
84-86, 94, 102
authorities,
47-50, 52, 54, 58, 61-64, 67,
68,70
authority weight,
50
backpropagation,
229, 232, 233
Barrier Function,
227
Behavior,
105
Human,
105
Modeling,
105
Web,
105
bow tie graph,
253, 254, 258
bow tie similar,
260
centrality score,
254, 255, 258, 260
Citation analysis,
47, 56
Crisp bags,
136, 138, 139, 143, 144, 159
eigenvalue,
48, 52-55, 57, 58, 60, 61
eigenvector,
48, 51-55, 57, 58, 60, 61, 67
FCM,
118-120, 122, 123, 127-129,
132-136
Information constraints,
108, 118, 119
browse oriented,
118, 122-133
browsing,
118-121, 123-126, 128-135
correlation encoding,
118, 125, 129,
134
differential hebbian learning,
118,
120, 123, 125, 130, 133
failure,
119-122, 125, 126, 128, 129,
131-135
relevance,
135
search oriented,
118, 122-124,
126-133
searching,
118-120, 122-135
success,
118-136
Time constraints,
108, 118-120, 135,
180
FCS,
260
fuzzy bags,
136-138, 144-151, 153, 154,
156, 158-161
Association,
151
difference,
149, 150, 154, 156
Fuzzy Cardinalities,
149
distance,
136, 150
Fuzzy Cardinalities,
149
intersection,
146, 153, 154
fuzzy numbers,
154
measure of
simulanty,
150
Fuzzy centrality score,
257-259
reflexive,
259
symmetric,
259
transitive,
259
fuzzy concepts,
253, 257
fuzzy sets,
118, 120, 144, 159
Fuzzy Similarity Measure,
253, 254, 257
e
Bow Tie similar,
254, 257
268
Index
google,
1, 2, 8, 10-15, 18, 69, 71, 72,
76-81, 85, 93-95, 99, 102, 135
graph,
25, 26, 225, 226
anti-symmetric,
27, 225, 226
not symmetric,
26, 225, 226
reflexive,
25, 26, 225, 226
symmetric,
25, 225
transitive,
26, 225, 226
graph of likely,
255
graph of probable,
255
HITS,
69, 70
bipartite graph,
49, 50, 59, 60, 62
bow tie graph,
61-64, 66
complete bipartite Graph,
58
complete bipartite graph,
58, 61
conjecture
1, 51, 54, 57, 60
conjecture
2, 51, 54, 56, 58, 59, 61, 67
conjecture
3, 51, 52, 54, 56, 58-61, 67
General Graphs,
51, 52, 54, 57, 62
In-degree Graph,
53, 54
Out-degree Graphs,
55, 56
hubs,
47-50, 52, 54, 58, 62-64, 67, 68,
70
hub weight,
50
hyperlinks,
7, 8, 23-25, 48, 68, 85,
103-105, 138, 153-155, 159-161,
165, 180, 192, 204, 209
inexact Hessian,
229, 230, 232
Information Theory,
261, 262
production line problem,
262
interior point method
linear,
232
linear programming,
90
Link,
47
Analysis,
47
Linear Algebra,
48
authorities,
23, 24
Graphs,
47
Bipartite,
30, 32, 34, 35, 40
Bow Tie,
35, 36, 38-40
Complete Bipartite,
32, 34, 35, 45
general,
34, 35, 45
In-degree,
31, 34, 35, 45
Out-degree,
24, 32, 34, 35, 45
hubs,
23, 24
meta-model approach,
86, 92, 93, 101,
102
inputs for the simulation,
93
Boolean logic,
93, 95
Coverage,
85, 93-95, 101, 102
Overlap,
93, 94
Portion of the Web pages indexed,
93
Precision,
93, 94
Response time,
83, 85, 93, 94, 101
Truncation,
93, 95
output variable, i.e., proportion of
rejected Web pages,
85, 93
Multidimensional Fuzzy Bags,
151
Multidimensional fuzzy bags,
136, 138,
151-154, 160
difference,
138, 154
Connan,
156
Fuzzy Cardinalities,
156
Meghabghab,
158
Yager,
154
intersection
a cuts,
153
Yager,
153
Northern Light,
85, 93, 94, 98, 102
One dimensional fuzzy bags,
144, 159
difference,
146-148
intersection,
145
a cuts,
146
PageRank,
69-72, 74-77, 81
Algorithms,
69
bipartite graphs,
72, 76, 77, 81
Theorem
4, 76, 77
will not work,
76
bow tie graph,
77-81
complete bipartite graphs,
72, 73, 77,
81
same tree level,
72
Theorem
1, 72
General graphs,
76, 77, 81
Theorem
5, 76, 77
will not work,
76
Graphs,
69
in-degree graphs,
72, 75-77, 81
same tree level,
75
Theorem
3, 75, 77
Index
269
Modified google's ranking,
77
out-degree graphs,
71, 72, 74, 75, 77,
81
same sub-tree level,
74
Theorem
2, 74, 77
Readjusted Google's Ranking,
81
topology-dependent,
70
RBF neural networks,
85, 86, 101, 102
training,
83, 84, 86-88, 90, 92, 93, 95,
96, 98-102, 104
with CCSW using GD,
88, 97, 98
with CCSW using IPM,
90, 97, 98
without CCSW,
87, 97, 98
regression,
235, 236, 238-241, 243-251
Factorial,
245-247, 250
Linear,
227-230, 232, 233, 235, 236,
238, 239, 241, 243, 244, 249
Multiple,
244, 245, 247, 249, 251
Polynomial,
230, 240, 241, 243, 244,
247-249, 251
Quadratic Response Surface,
247,
248, 251
Regression Models approach,
94
linear regression models,
85, 95
first order linear equation,
96
second order linear equation,
96
Rough Set,
162, 163, 165-168, 170,
177, 180, 182-184, 192, 193, 195,
205-208, 210-212
attributes,
144, 159, 161-168, 172,
174-182, 187, 191-193, 198, 199,
202, 203, 206, 208, 210-213
Decision Rules,
162, 170, 180, 184,
191, 195, 203, 213, 214
Deterministic,
162, 173, 174, 177,
179, 180, 186, 187, 189, 191, 197,
199, 200, 202, 203, 205-208, 210,
211
Non
Deterministic,
162, 180, 191,
203
Discernibility Function,
174, 179, 187,
198, 202
Discernibility Matrix,
174, 187, 198
reduct,
172, 176-179, 188-190,
199-202, 213
Rough Set theory,
266
production line problem,
266
Simulations,
83
Engines,
83
Search,
83
Stochastic,
83
uni-variable query,
143, 160
Web,
1-12, 14, 15, 17, 19, 23-32, 34-36,
45, 47-56, 58-60, 67-72, 76, 77,
81, 84, 85, 93-95, 99,101-108, 110,
111,
114, 115, 117-121, 123, 129,
132, 136-140, 142-144, 146-148,
150, 151, 153-156, 158-163, 165,
170, 180, 181, 191, 192, 203, 204,
206-212, 225, 226, 244, 245, 261
graph
adjacency matrix,
25, 27, 28, 41, 42
id vector,
34, 35
Incidence Matrix,
29
od
vector,
34, 35
Topological Difference,
34
page,
23-32, 35, 36, 45
Graph Theory,
23, 24, 29
id vector,
26, 28, 31
measure of similarity,
25
od
vector,
26, 28, 31, 32
WWW,
1, 7, 24, 28, 30, 45, 68, 84-86,
93, 94, 102-104
page,
225, 226, 241, 244, 253, 261
yahoo,
8, 13, 14, 85, 93, 94, 98, 99, 102 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Meghabghab, George Kandel, Abraham 1941- |
| author_GND | (DE-588)12865242X |
| author_facet | Meghabghab, George Kandel, Abraham 1941- |
| author_role | aut aut |
| author_sort | Meghabghab, George |
| author_variant | g m gm a k ak |
| building | Verbundindex |
| bvnumber | BV023184394 |
| callnumber-first | Z - Library Science |
| callnumber-label | ZA4235 |
| callnumber-raw | ZA4235 |
| callnumber-search | ZA4235 |
| callnumber-sort | ZA 44235 |
| callnumber-subject | ZA - Information Resources |
| classification_rvk | AN 96300 ST 205 |
| ctrlnum | (OCoLC)191923950 (DE-599)DNB986682012 |
| discipline | Allgemeines Informatik |
| discipline_str_mv | Allgemeines Informatik |
| format | Book |
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| id | DE-604.BV023184394 |
| illustrated | Illustrated |
| index_date | 2024-07-02T20:02:38Z |
| indexdate | 2024-07-09T21:12:32Z |
| institution | BVB |
| isbn | 9783540774686 9783540774693 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016370936 |
| oclc_num | 191923950 |
| open_access_boolean | |
| owner | DE-N2 DE-12 DE-83 DE-11 DE-2070s DE-355 DE-BY-UBR DE-188 |
| owner_facet | DE-N2 DE-12 DE-83 DE-11 DE-2070s DE-355 DE-BY-UBR DE-188 |
| physical | XIX, 269 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series | Studies in Computational Intelligence |
| series2 | Studies in Computational Intelligence |
| spelling | Meghabghab, George Verfasser aut Search engines, link analysis, and user's web behavior [a unifying web mining approach] George Meghabghab ; Abraham Kandel Berlin [u.a.] Springer 2008 XIX, 269 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in Computational Intelligence 99 Computersimulaties gtt Internet gtt Search engines gtt Zoekproces gtt Internet users Web usage mining WebGraph (DE-588)7614313-2 gnd rswk-swf Hyperlink (DE-588)4617682-2 gnd rswk-swf Benutzermodell (DE-588)4343329-7 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Benutzerverhalten (DE-588)4122898-4 gnd rswk-swf Suchmaschine (DE-588)4423007-2 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf Suchmaschine (DE-588)4423007-2 s DE-604 WebGraph (DE-588)7614313-2 s Hyperlink (DE-588)4617682-2 s World Wide Web (DE-588)4363898-3 s Information Retrieval (DE-588)4072803-1 s Benutzermodell (DE-588)4343329-7 s Benutzerverhalten (DE-588)4122898-4 s Kandel, Abraham 1941- Verfasser (DE-588)12865242X aut Studies in Computational Intelligence 99 (DE-604)BV020822171 99 Digitalisierung BSBMuenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016370936&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Meghabghab, George Kandel, Abraham 1941- Search engines, link analysis, and user's web behavior [a unifying web mining approach] Studies in Computational Intelligence Computersimulaties gtt Internet gtt Search engines gtt Zoekproces gtt Internet users Web usage mining WebGraph (DE-588)7614313-2 gnd Hyperlink (DE-588)4617682-2 gnd Benutzermodell (DE-588)4343329-7 gnd Information Retrieval (DE-588)4072803-1 gnd Benutzerverhalten (DE-588)4122898-4 gnd Suchmaschine (DE-588)4423007-2 gnd World Wide Web (DE-588)4363898-3 gnd |
| subject_GND | (DE-588)7614313-2 (DE-588)4617682-2 (DE-588)4343329-7 (DE-588)4072803-1 (DE-588)4122898-4 (DE-588)4423007-2 (DE-588)4363898-3 |
| title | Search engines, link analysis, and user's web behavior [a unifying web mining approach] |
| title_auth | Search engines, link analysis, and user's web behavior [a unifying web mining approach] |
| title_exact_search | Search engines, link analysis, and user's web behavior [a unifying web mining approach] |
| title_exact_search_txtP | Search engines, link analysis, and user's web behavior [a unifying web mining approach] |
| title_full | Search engines, link analysis, and user's web behavior [a unifying web mining approach] George Meghabghab ; Abraham Kandel |
| title_fullStr | Search engines, link analysis, and user's web behavior [a unifying web mining approach] George Meghabghab ; Abraham Kandel |
| title_full_unstemmed | Search engines, link analysis, and user's web behavior [a unifying web mining approach] George Meghabghab ; Abraham Kandel |
| title_short | Search engines, link analysis, and user's web behavior |
| title_sort | search engines link analysis and user s web behavior a unifying web mining approach |
| title_sub | [a unifying web mining approach] |
| topic | Computersimulaties gtt Internet gtt Search engines gtt Zoekproces gtt Internet users Web usage mining WebGraph (DE-588)7614313-2 gnd Hyperlink (DE-588)4617682-2 gnd Benutzermodell (DE-588)4343329-7 gnd Information Retrieval (DE-588)4072803-1 gnd Benutzerverhalten (DE-588)4122898-4 gnd Suchmaschine (DE-588)4423007-2 gnd World Wide Web (DE-588)4363898-3 gnd |
| topic_facet | Computersimulaties Internet Search engines Zoekproces Internet users Web usage mining WebGraph Hyperlink Benutzermodell Information Retrieval Benutzerverhalten Suchmaschine World Wide Web |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016370936&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT meghabghabgeorge searchengineslinkanalysisanduserswebbehavioraunifyingwebminingapproach AT kandelabraham searchengineslinkanalysisanduserswebbehavioraunifyingwebminingapproach |