<p>This is the fifth in a 34 part series of books telling the story of Monkey from the ancient Chinese fantasy novel "Journey to the West". Illustrated by 54 coloured pictures.</p>

The Coming of Pig (Monkey Series, 5)

Fang, Yuan

Foreign Language Press, Beijin

The Motherhood River

Parenting & Relationships

Family Relationships

Foreign Languages Press Beijing

The Womanland of Western Liang (Monkey Series, 16)

Foreign Languages Press

The Womanland of Western Liang

Foreign Lanuages Press, Beijing

Three Man-eaters on Lion-Camel Mountian. Monkey Series 24

Foreign Language Press

<p>In the far east, there was a mysterious firefly garden where a swarm of lovely fireflies lived. Many funny stories happened to them there. This day, the moon was rising and all fireflies began dancing merrily except Ryan, who sat on the tree branch as if in a trance......</p>

The Firefly Chasing the Moon (The Little Firefly Ryan)

Comics & Graphic Novels

Manga

Independently published

Quzhi beauty articles (as amended) Wife Soup(Chinese Edition)

Zhuhai Pub. Date :2003-01-01 First Edition 2003-01

Preference-based Spatial Co-location Pattern Mining (Big Data Management)

<p><div>The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field.<br /> <br /></div> <div>Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors' recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns.<br /> <br /></div> <div>Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.</div></p>

Computers & Technology

Wang, Lizhen

Zhou, Lihua

Computer Science

Springer

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