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6209355773.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
6209327613.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
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6203775843.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
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2022x-1801174792Emerald Group Pub Ltd 2022. Hardcover. New. 164 pages. 9.00x6.00x0.56 inches. Emerald Group Pub Ltd hardcover
20022082402113803134Sony Magazines 2002. Soft Cover. Fine. Number of books: 1 Sony Magazines paperback
A9789819667901Hardback. New. <p>This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases quantitative databases uncertain databases and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques the author developed Pattern Mining PAMI Python library which currently contains 80 algorithms to discover useful patterns in transactional databases temporal databases quantitative databases and graphs.</p> <p>The book consists of three main parts:</p> <p>· Introduction: The first chapter introduces big data types of learning techniques and the importance of pattern mining. The second chapter introduces the PAMI library its organizational structure installation and usage.</p> <p>· Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in 1 transactional databases 2 temporal databases 3 quantitative databases 4 uncertain databases 5 sequential databases and 6 graphs.</p> <p>· Applications: The book concludes with several applications where the predicted knowledge using TensorFlow and PyTorch was transformed into a database to discover future trends or patterns.</p> hardcover
2022x-1032153504Routledge 2022. Hardcover. New. 96 pages. 8.50x5.50x0.50 inches. Routledge hardcover
6205837714.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
6205837706.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
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6207504259.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
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2025x-1394199643Wiley 2025. Paperback. New. 1st edition. 223 pages. 11.25x9.00x0.50 inches. Wiley paperback
2080202102302073Homeopathy N.A. Soft Cover. Fine. Page number: 117p Size: 21cm Homeopathy paperback
6209141668.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
3346607305.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
396146989X.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
3954259508.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
3640776011.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
20111-384654535XLap Lambert Academic Publishing 2011. Paperback. New. 140 pages. 8.70x5.94x0.59 inches. Lap Lambert Academic Publishing paperback
2011__384654535XLap Lambert Academic Publishing 2011. Paperback. New. 140 pages. 8.70x5.94x0.59 inches. Lap Lambert Academic Publishing paperback
