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1 CK: Fuhr/Pfeifer:91
2 DT: IP
3 AU: Fuhr, N.; Pfeifer, U.
4 TI: Combining Model-Oriented and Description-Oriented Approaches for
5 Probabilistic Indexing
6 ER: Bookstein, A.; Chiaramella, Y.; Salton, G.; Raghavan, V.V.
7 BT: Proceedings of the Fourteenth Annual International ACM/SIGIR
8 Conference on Research and Development in Information Retrieval
9 PN: ACM
10 PA: New York
11 PP: 46-56
12 LA: EN
13 ED: 28.10.91
14 PY: 1991
15 LO: P
16 RD: Fu
17 CC: H.3.3; H.99.3
18 SD: retrieval models
19 FT: probabilistic retrieval
20
21 CK: Fuhr/Pfeifer:94
22 DT: AR
23 AU: Fuhr, N.; Pfeifer, U.
24 TI: Probabilistic Information Retrieval as Combination of Abstraction,
25 Inductive Learning and Probabilistic Assumptions
26 JT: TOIS
27 VO: 12
28 NO: 1
29 PP: 92-115
30 LA: EN
31 ED: 04.01.93
32 PY: 1994
33 LO: D
34 RD: Fu
35 CC: H.3.3; H.99.3
36 SD: retrieval models
37 FT: probabilistic retrieval
38
39 CK: Pfeifer:91
40 DT: IP
41 AU: Pfeifer, U.
42 TI: Entwicklung linear iterativer und logistischer
43 Indexierungsfunktionen
44 ER: Fuhr, N.
45 BT: Information Retrieval
46 PN: Springer
47 PA: Berlin et al.
48 PP: 23-37
49 LA: GE
50 ED: 02.07.91
51 PY: 1991
52 RD: Pf
53 GT: experimentation
54 CC: H.3.1; G.1.2
55 SD: least squares approximation; indexing methods
56 FT: logistic functions; indexing functions; DIA
57
58 CK: Fuhr/etal:94
59 DT: IP
60 CR: TREC-2
61 AU: Fuhr, N.; Pfeifer, U.; Bremkamp, C.; Pollmann, M.; Buckley, C.
62 TI: Probabilistic Learning Approaches for Indexing and Retrieval
63 with the TREC-2 Collection
64 LA: EN
65 ED: 02.12.93
66 PY: 1994
67 PR: TOAPP
68 LO: D
69 RD: Fu
70 CC: G.1.2; H.3.1; H.3.3; H.99.3
71 SD: least squares approximation; indexing methods; retrieval models
72 FT: probabilistic models; query expansion
73 PP: 67-74
74
75 CK: Pfeifer/etal:94
76 DT: MC
77 AU: Pfeifer, U.; Pennekamp, S.; Fuhr, N.
78 TI: Incremental Processing of Vague Queries in Interactive Retrieval Systems
79 ED: 10.01.94
80 PY: 1994
81 PR: SUBMITTED
82 LO: D
83 RD: Fu
84 CC: H.3.2
85 SD: file organization
86
87 CK: Poersch/Pfeifer:94
88 DT: MC
89 AU: Poersch, T.; Pfeifer, U.
90 TI: Similarity Measures for Strings
91 LA: EN
92 ED: 10.01.94
93 PY: 1994
94 PR: SUBMITTED
95 LO: D
96 RD: Fu
97 CC: H.99.3
98
99 CK: Pfeifer/etal:95
100 DT: IP
101 AU: Pfeifer, U.; Fuhr, N.; Huynh, T.
102 TI: Searching Structured Documents with the Enhanced Retrieval
103 Functionality of freeWAIS-sf and SFgate
104 ER: D. Kroemker
105 BT: Computer Networks and ISDN Systems; Proceedings of the third
106 International World-Wide Web Conference
107 PN: Elsevier
108 PA: Amsterdam - Lausanne - New York - Oxford - Shannon - Tokyo
109 PP: 1027-1036
110 LA: EN
111 ED: 03.02.95
112 PY: 1995
113 PM: APR
114 PR: Available in electronic form from
115 http://www.igd.fhg.de/www/www95/papers/47/fwsf/fwsf.html and
116 http://www.elsevier.nl (passwd els4www3)
117 LO: P
118 RD: Pf
119 CC: H.2.3; H.3.2
120 SD: Query languages
121 FT: WAIS, Form, User-Interface, Query Language, Retrieval, Search,
122 Multi-Server Search, Network Information Retrieval
123 AB: The original WAIS implementation by Thinking Machines et
124 al. treats documents as uniform bags of terms. Since most
125 documents exhibit some internal structure, it is desirable to
126 provide the user means to exploit this structure in his
127 queries. ...
128
129 CK: Pfeifer/etal:95a
130 DT: IP
131 CR: HIM:95
132 AU: Pfeifer, U; Poersch, T; Fuhr, N.
133 TI: Searching Proper Names in Databases
134 PP: 259-276
135 LA: EN
136 ED: 03.02.95
137 PY: 1995
138 LO: P
139 RD: tha
140
141 CK: Pfeifer/Fuhr:95
142 DT: IP
143 AU: Pfeifer, U.; Fuhr, N.
144 TI: Efficient Processing of Vague Queries using a Data Stream Approach
145 BT: Proceedings of the 18th International {ACM SIGIR} Conference on
146 Research and Development in Information Retrieval
147 PN: ACM
148 PA: New York
149 PP: 189-198
150 LA: EN
151 ED: 10.03.95
152 PY: 1995
153 CN: (to appear)
154 LO: P
155 RD: Pf
156 CC: H.2.4; H.3.3; H.99.4
157 SD: query processing; selection process
158 FT: stream-oriented
159
160 CK: Pfeifer:90
161 DT: TR
162 RT: DPA
163 AU: Pfeifer, U.
164 TI: Development of Log-Linear and Linear-Iterative Indexing Functions
165 (in German)
166 PI: DVS2
167 LA: GE
168 ED: 09.01.90
169 PY: 1990
170 LO: D
171 RD: Fu
172 CC: I.5.1; I.2.6; G.1.2; H.3.1
173 SD: statistical models; parameter learning; least squares
174 approximation; nonlinear approximation; Indexing methods
175 FT: DIA; logistic regression; maximum likelihood estimation
176
177 CK: Burghardt/etal:93
178 DT: IP
179 AU: Burghardt, A.; Fuhr, N.; Großjohann, K.; Pfeifer, U.;
180 Spielmann, H.; Stach, O.
181 TI: NOSFERATU --- ein integriertes Datenbank- und
182 Informationssystem basierend auf dem Datenstrom-Paradigma
183 BT: Proceedings 1. GI-Fachtagung Information Retrieval
184 PN: Universitätsverlag Konstanz
185 PA: Konstanz
186 PP: 27-40
187 LA: GE
188 ED: 04.01.93
189 PY: 1993
190 LO: P
191 RD: Fu
192 CC: H.3.3
193 SD: selection process
194 FT: stream-oriented
195
196 CK: Burghardt/etal:93a
197 DT: IP
198 AU: Burghardt, A.; Fuhr, N.; Großjohann, K.; Pfeifer, U.;
199 Spielmann, H.; Stach, O.
200 TI: NOSFERATU --- an Integrated Database Management and Information
201 Retrieval system based on Data Streams (in German)
202 BT: Proceedings 1. GI-Fachtagung Information Retrieval
203 PN: Universitätsverlag Konstanz
204 PA: Konstanz
205 PP: 27-40
206 LA: GE
207 ED: 04.01.93
208 PY: 1993
209 LO: P
210 RD: Fu
211 CC: H.3.3
212 SD: selection process
213 FT: stream-oriented
214
215 CK: Pfeifer/Fuhr:93
216 DT: IP
217 AU: Pfeifer, U.; Fuhr, N.
218 TI: Aufwandsabschätzung für die Prozessierung vager Anfragen auf der
219 Basis des Datenstrom-Ansatzes
220 ER: Stucky, W.
221 BT: Datenbanksysteme in Büro, Technik und Wissenschaft
222 PN: Springer
223 PA: Berlin et al.
224 PP: 375-392
225 LA: GE
226 ED: 17.12.92
227 PY: 1993
228 LO: P
229 RD: Pf
230 CC: H.2.4; H.3.3; H.99.4
231 SD: query processing; selection process
232 FT: stream-oriented
233
234 CK: Schmidt/Pfeifer:93
235 DT: IP
236 AU: Schmidt, M.; Pfeifer, U.
237 TI: Eignung von Signaturbäumen für Best-Match-Anfragen
238 BT: Proceedings 1. GI-Fachtagung Information Retrieval
239 PN: Universitätsverlag Konstanz
240 PA: Konstanz
241 PP: 125-138
242 LA: GE
243 PY: 1993
244 PR: TOAPP
245 LO: D
246 RD: Pf
247 CC: H.3.2
248 SD: file organisation
249 FT: signature files; signature trees
250 ED: 24.06.93
251
252 CK: Schmidt/Pfeifer:93a
253 DT: IP
254 AU: Schmidt, M.; Pfeifer, U.
255 TI: Suitability of Signature Trees for Processing of Best Match
256 Queries (in German)
257 BT: Proceedings 1. GI-Fachtagung Information Retrieval
258 PN: Universitätsverlag Konstanz
259 PA: Konstanz
260 PP: 125-138
261 LA: GE
262 PY: 1993
263 PR: TOAPP
264 LO: D
265 RD: Pf
266 CC: H.3.2
267 SD: file organisation
268 FT: signature files; signature trees
269 ED: 24.06.93
270
271 CK: Weird:??
272 AU: Äüborg
273 TI: äbör ßälbär

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