Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 0.27.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Condition: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Books Unplugged, Amherst, NY, U.S.A.
Condition: Good. Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Fair. Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Condition: New. Book is in NEW condition. 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: New. New! This book is in the same immaculate condition as when it was published 0.29.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Newman Springs Publishing, Inc. 8/17/2022, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. My Favorite Season is Spring 0.27. Book.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Published by Newman Springs Publishing, Inc., 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: booksXpress, Bayonne, NJ, U.S.A.
Soft Cover. Condition: new.
Published by Newman Springs Publishing, Inc., 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Russell Books, Victoria, BC, Canada
Paperback. Condition: New. Special order direct from the distributor.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Newman Springs Publishing, Inc., 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Published by Newman Springs Publishing, Inc., 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 38 pages. 10.00x8.00x0.10 inches. In Stock.
Published by Newman Springs Publishing, Inc. 2022-08, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Chiron Media, Wallingford, United Kingdom
PF. Condition: New.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: New.
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Newman Springs, 2024
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: Save With Sam, North Miami, FL, U.S.A.
paperback. Condition: New. Brand New! This item is printed on demand.
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1627059520 ISBN 13: 9781627059527
Seller: Our Kind Of Books, Liphook, United Kingdom
Soft cover. Condition: As New. This book has been in storage since publication and is unread. Hence the description as new .
Published by Newman Springs, 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Strawberry, a cute little field mouse, accompanies you as you turn the pages of this fun, lighthearted book, suitable for all ages-a celebration of the exciting things to do as you take a journey through each of the seasons of the year.Just when you think you've decided on a favorite, you start to contemplate the best things about the next season. By the end of the book, you've come to appreciate all the unique things each season holds. What will your favorite season be.
Published by Springer International Publishing Jan 2017, 2017
ISBN 10: 3031011791 ISBN 13: 9783031011795
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user's query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence, database management, and parallel computing. This book introduces the topic of IR and how it differs from other computer science disciplines. A discussion of the history of modern IR is briefly presented, and the notation of IR as used in this book is defined. The complex notation of relevance is discussed. Some applications of IR is noted as well since IR has many practical uses today. Using information retrieval with fuzzy logic to search for software terms can help find software components and ultimately help increase the reuse of software. This is just one practical application of IR that is covered in this book.Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention of the source of weights for the various models. In a typical retrieval environment, answers are either yes or no, i.e., on or off. On the other hand, fuzzy logic can bring in a 'degree of' match, vs. a crisp, i.e., strict match. This, too, is looked at and explored in much detail, showing how it can be applied to information retrieval. Fuzzy logic is often times considered a soft computing application and this book explores how IR with fuzzy logic and its membership functions as weights can help indexing, querying, and matching. Since fuzzy set theory and logic is explored in IR systems, the explanation of where the fuzz is ensues.The concept of relevance feedback, including pseudorelevance feedback is explored for the various models of IR. For the extended Boolean model, the use of genetic algorithms for relevance feedback is delved into.The concept of query expansion is explored using rough set theory. Various term relationships is modeled and presented, and the model extended for fuzzy retrieval. An example using the UMLS terms is also presented. The model is also extended for term relationships beyond synonyms.Finally, this book looks at clustering, both crisp and fuzzy, to see how that can improve retrieval performance. An example is presented to illustrate the concepts. 84 pp. Englisch.
Published by Springer International Publishing, 2017
ISBN 10: 3031011791 ISBN 13: 9783031011795
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user's query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence, database management, and parallel computing. This book introduces the topic of IR and how it differs from other computer science disciplines. A discussion of the history of modern IR is briefly presented, and the notation of IR as used in this book is defined. The complex notation of relevance is discussed. Some applications of IR is noted as well since IR has many practical uses today. Using information retrieval with fuzzy logic to search for software terms can help find software components and ultimately help increase the reuse of software. This is just one practical application of IR that is covered in this book.Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention of the source of weights for the various models. In a typical retrieval environment, answers are either yes or no, i.e., on or off. On the other hand, fuzzy logic can bring in a 'degree of' match, vs. a crisp, i.e., strict match. This, too, is looked at and explored in much detail, showing how it can be applied to information retrieval. Fuzzy logic is often times considered a soft computing application and this book explores how IR with fuzzy logic and its membership functions as weights can help indexing, querying, and matching. Since fuzzy set theory and logic is explored in IR systems, the explanation of where the fuzz is ensues.The concept of relevance feedback, including pseudorelevance feedback is explored for the various models of IR. For the extended Boolean model,the use of genetic algorithms for relevance feedback is delved into.The concept of query expansion is explored using rough set theory. Various term relationships is modeled and presented, and the model extended for fuzzy retrieval. An example using the UMLS terms is also presented. The model is also extended for term relationships beyond synonyms.Finally, this book looks at clustering, both crisp and fuzzy, to see how that can improve retrieval performance. An example is presented to illustrate the concepts.
Published by Newman Springs Publishing, Inc., 2022
ISBN 10: 168498646X ISBN 13: 9781684986460
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnStrawberry, a cute little field mouse, accompanies you as you turn the pages of this fun, lighthearted book, suitable for all ages-a celebration of the exciting things to do as you take a journey through each of the seasons of the.
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2017
ISBN 10: 3031011791 ISBN 13: 9783031011795
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user s query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Informatio.