WEBKDD 2001--mining web log data across all customer touch points
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:34727/Details |
|---|---|
| Ostali autori: | WEBKDD 2001 (-) |
| Ostali autori: | Kohavi, Ron (-) |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Berlin ; New York :
Springer,
c2002.
|
| Nakladnička cjelina: |
Lecture notes in computer science ;
2356. Lecture notes in computer science. Lecture notes in artificial intelligence. Hot topics (Berlin, Germany) |
| Predmet: | |
| Online pristup: |
Publisher description |
| LEADER | 02525cam a2200433 a 4500 | ||
|---|---|---|---|
| 005 | 20140407131951.0 | ||
| 008 | 020703s2002 gw a b 101 0 eng | ||
| 010 | |a 2002026904 | ||
| 020 | |a 3540439692 (acidfree paper) | ||
| 040 | |a DLC |c DLC |d HR-ZaFER |b hrv |e ppiak | ||
| 050 | 0 | 0 | |a ZA4235 |b .W43 2001 |
| 082 | 0 | 0 | |a 006.3 |2 21 |
| 111 | 2 | |a WEBKDD 2001 |d (2001 : |c San Francisco, Calif.) | |
| 245 | 1 | 0 | |a WEBKDD 2001--mining web log data across all customer touch points : |b third international workshop, San Francisco, CA, USA, August 26, 2001 : revised papers / |c Ron Kohavi ... [et al.] (eds.). |
| 246 | 3 | 0 | |a Mining web log data across all customer touch points |
| 260 | |a Berlin ; |a New York : |b Springer, |c c2002. | ||
| 300 | |a ix, 166 p. : |b ill. ; |c 24 cm. | ||
| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 2356. |a Lecture notes in artificial intelligence | |
| 490 | 1 | |a Hot topics | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences --- Bettina Berendt | |
| 505 | 0 | |a A Customer Purchase Incidence Model Applied to Recommender Services --- Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn | |
| 505 | 0 | |a A Cube Model and Cluster Analysis for Web Access Sessions --- Joshua Zhexue Huang, Michael Ng, Wai-Ki Ching, Joe Ng, David Cheung | |
| 505 | 0 | |a Exploiting Web Log Mining for Web Cache Enhancement --- Alexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos | |
| 505 | 0 | |a LOGML: Log Markup Language for Web Usage Mining --- John R. Punin, Mukkai S. Krishnamoorthy, Mohammed J. Zaki | |
| 505 | 0 | |a A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking --- Cyrus Shahabi, Farnoush Banaei-Kashani | |
| 505 | 0 | |a Mining Indirect Associations in Web Data --- Pang-Ning Tan, Vipin Kumar | |
| 650 | 0 | |a Web usage mining |v Congresses. | |
| 650 | 0 | |a Internet users |v Congresses. | |
| 650 | 0 | |a Electronic commerce |v Congresses. | |
| 700 | 1 | |a Kohavi, Ron. | |
| 830 | 0 | |a Lecture notes in computer science ; |v 2356. | |
| 830 | 0 | |a Lecture notes in computer science. |p Lecture notes in artificial intelligence. | |
| 830 | 0 | |a Hot topics (Berlin, Germany) | |
| 856 | 4 | 2 | |3 Publisher description |u http://www.loc.gov/catdir/enhancements/fy0817/2002026904-d.html |
| 906 | |a 7 |b cbc |c orignew |d 1 |e ocip |f 20 |g y-gencatlg | ||
| 942 | |2 udc |c K | ||
| 955 | |a pc17 2002-07-03 to ASCD |i lh39 2002-08-24 |a aa20 2002-08-28 |a ps11 2002-09-04 bk rec'd, to CIP ver. | ||
| 999 | |c 34727 |d 34727 | ||