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George, Wilfred R.

Published by Homewood, IL: Dow Jones-Irwin, October 1976. (1976)

ISBN 10: 0870941291 ISBN 13: 9780870941290

Used
Hardcover
First Edition

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From: David Hallinan, Bookseller (Columbus, MS, U.S.A.)

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About this Item: Homewood, IL: Dow Jones-Irwin, October 1976., 1976. First edition, first printing (with publisher's statement for latter in copyright page). x, 153 pages. Hardcover: H 28.5cm x L 22.25cm. Black dust jacket rubbed with several surface scratches, nicks and wear as well as short tears and some creasing at edges. Gray cloth spine with bright gilt and red stamping; dark green boards. Interior pages are bright and clean. Binding is firm. A fine copy in a very good- dust jacket. ISBN 0870941291. Seller Inventory # D17-8222

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Mishra, Trapti / Kapoor, Vivek

ISBN 10: 3659930393 ISBN 13: 9783659930393

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About this Item: Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable. | Format: Paperback | Language/Sprache: english | 60 pp. Seller Inventory # K9783659930393

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Trapti Mishra

Published by LAP Lambert Academic Publishing Aug 2016 (2016)

ISBN 10: 3659930393 ISBN 13: 9783659930393

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Softcover

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From: Rheinberg-Buch (Bergisch Gladbach, Germany)

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About this Item: LAP Lambert Academic Publishing Aug 2016, 2016. Taschenbuch. Condition: Neu. Neuware - In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable. 60 pp. Englisch. Seller Inventory # 9783659930393

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Trapti Mishra

Published by LAP Lambert Academic Publishing Aug 2016 (2016)

ISBN 10: 3659930393 ISBN 13: 9783659930393

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Softcover

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From: BuchWeltWeit Inh. Ludwig Meier e.K. (Bergisch Gladbach, Germany)

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About this Item: LAP Lambert Academic Publishing Aug 2016, 2016. Taschenbuch. Condition: Neu. Neuware - In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable. 60 pp. Englisch. Seller Inventory # 9783659930393

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Trapti Mishra, Vivek Kapoor

Published by LAP Lambert Academic Publishing (2016)

ISBN 10: 3659930393 ISBN 13: 9783659930393

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Softcover

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From: The Book Depository EURO (London, United Kingdom)

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About this Item: LAP Lambert Academic Publishing, 2016. Paperback. Condition: New. Language: English . Brand New Book. In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable. Seller Inventory # KNV9783659930393

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Scheinman, William X.

Published by NY: Xerox Corporation, 1967. Second edition. (Published November 1967). Xerox Copy. (1967)

Used
Softcover

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From: Dorothy Eady Brown (Birmingham, AL, U.S.A.)

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About this Item: NY: Xerox Corporation, 1967. Second edition. (Published November 1967). Xerox Copy., 1967. Soft cover. Condition: Very Good. No Jacket. Large softcover, no dust jacket. Gray cover with black lettering of title on the cover. Slightly worn,and wrinkled on the cover. Pages slightly browning with age. Top back corner slightly creased on the last few pages. No marks. Very good condition. This is the second printing of the Original edition, printed by Xerox. It is a Xeroxed copy, printed on one side of the paper. A very scarce edition of this valuable publication. The so-called first edition was printed by Lawford Press, September 1967. 270 pages. Seller Inventory # BC50-37

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Trapti Mishra

Published by LAP Lambert Academic Publishing Aug 2016 (2016)

ISBN 10: 3659930393 ISBN 13: 9783659930393

New
Softcover

Quantity Available: 1

From: AHA-BUCH GmbH (Einbeck, Germany)

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About this Item: LAP Lambert Academic Publishing Aug 2016, 2016. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable. 60 pp. Englisch. Seller Inventory # 9783659930393

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Results (1 - 7) of 7