Knowledge Discovery Spatial Data by Leung Yee (31 results)

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: 'the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data' is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: 'the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data' is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.

Condition: New.

Condition: New. Dealing with knowledge discovery and data mining in spatial and temporal data, this book seeks to present novel methods that can be employed to discover spatial structures and processes in complex data. Numerical examples and applications are used throughout. Series: Advances in Spatial Science. Num Pages: 389 pages, 113 black & white illustrations, 71 black & white tables, biography. BIC Classification: KCU; RG; WTH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 20. Weight in Grams: 599. . 2012. Paperback. . . . .

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Condition: New. pp. 392.

Condition: New. pp. 392, Maps.

Condition: New. Dealing with knowledge discovery and data mining in spatial and temporal data, this book seeks to present novel methods that can be employed to discover spatial structures and processes in complex data. Numerical examples and applications are used throughout. Series: Advances in Spatial Science. Num Pages: 389 pages, 113 black & white illustrations, 71 black & white tables, biography. BIC Classification: KCU; RG; WTH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 20. Weight in Grams: 599. . 2012. Paperback. . . . . Books ship from the US and Ireland.

Condition: New.

Condition: New.

Paperback. Condition: new. Paperback. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered .

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: 'the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data' is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. 360 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: 'the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data' is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. 392 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered .

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: ¿the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in datä is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.

Condition: New. Print on Demand pp. 392 226 Illus. (113 Col.), Maps.

Condition: New. Print on Demand pp. 392 226 Illus. (113 Col.).

Condition: New. PRINT ON DEMAND pp. 392.