Scientific Data Mining

Scientific Data Mining PDF

Author: Chandrika Kamath

Publisher: SIAM

Published: 2009-06-04

Total Pages: 295

ISBN-13: 0898716756

DOWNLOAD EBOOK →

Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains.

Advice for Future Corpses (and Those Who Love Them)

Advice for Future Corpses (and Those Who Love Them) PDF

Author: Sallie Tisdale

Publisher: Gallery Books

Published: 2019-06-18

Total Pages: 256

ISBN-13: 1501182188

DOWNLOAD EBOOK →

A NEW YORK TIMES BOOK CRITICS’ TOP 10 BOOK OF THE YEAR “In its loving, fierce specificity, this book on how to die is also a blessedly saccharine-free guide for how to live” (The New York Times). Former NEA fellow and Pushcart Prize-winning writer Sallie Tisdale offers a lyrical, thought-provoking, yet practical perspective on death and dying in Advice for Future Corpses (and Those Who Love Them). Informed by her many years working as a nurse, with more than a decade in palliative care, Tisdale provides a frank, direct, and compassionate meditation on the inevitable. From the sublime (the faint sound of Mozart as you take your last breath) to the ridiculous (lessons on how to close the sagging jaw of a corpse), Tisdale leads us through the peaks and troughs of death with a calm, wise, and humorous hand. Advice for Future Corpses is more than a how-to manual or a spiritual bible: it is a graceful compilation of honest and intimate anecdotes based on the deaths Tisdale has witnessed in her work and life, as well as stories from cultures, traditions, and literature around the world. Tisdale explores all the heartbreaking, beautiful, terrifying, confusing, absurd, and even joyful experiences that accompany the work of dying, including: A Good Death: What does it mean to die “a good death”? Can there be more than one kind of good death? What can I do to make my death, or the deaths of my loved ones, good? Communication: What to say and not to say, what to ask, and when, from the dying, loved ones, doctors, and more. Last Months, Weeks, Days, and Hours: What you might expect, physically and emotionally, including the limitations, freedoms, pain, and joy of this unique time. Bodies: What happens to a body after death? What options are available to me after my death, and how do I choose—and make sure my wishes are followed? Grief: “Grief is the story that must be told over and over...Grief is the breath after the last one.” Beautifully written and compulsively readable, Advice for Future Corpses offers the resources and reassurance that we all need for planning the ends of our lives, and is essential reading for future corpses everywhere. “Sallie Tisdale’s elegantly understated new book pretends to be a user’s guide when in fact it’s a profound meditation” (David Shields, bestselling author of Reality Hunger).

Data Cleaning

Data Cleaning PDF

Author: Venkatesh Ganti

Publisher: Morgan & Claypool Publishers

Published: 2013-09-01

Total Pages: 87

ISBN-13: 1608456781

DOWNLOAD EBOOK →

Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merging data collected independently across different databases. These errors in data warehouses often result in erroneous upstream reports, and could impact business decisions negatively. Therefore, one of the critical challenges while maintaining large data warehouses is that of ensuring the quality of data in the data warehouse remains high. The process of maintaining high data quality is commonly referred to as data cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean different solutions in different scenarios. Toward clarifying these goals, we abstract out a common set of data cleaning tasks that often need to be addressed. This abstraction allows us to develop solutions for these common data cleaning tasks. We then discuss a few popular approaches for developing such solutions. In particular, we focus on an operator-centric approach for developing a data cleaning platform. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, we discuss the development of custom scripts which leverage the basic data cleaning operators along with relational operators to implement effective solutions for data cleaning tasks.