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Kirjailija

Muhammad Usman

Kirjat ja teokset yhdessä paikassa: 31 kirjaa, julkaisuja vuosilta 2011-2025, suosituimpien joukossa Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

31 kirjaa

Kirjojen julkaisuhaarukka 2011-2025.

Predictive Analysis on Large Data for Actionable Knowledge
Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.
An Introduction to African Wildlife for Kids

An Introduction to African Wildlife for Kids

John Davidson; Muhammad Usman

Createspace Independent Publishing Platform
2017
nidottu
TABLE OF CONTENTS INTRODUCTION AFRICAN WILDCATS Africa's Big Cats Africa's Small Cats BIRDS OF AFRICA THE CONTINENT OF THE APES Africa's Small Primates The Great Apes of Africa AFRICA'S FAVORITE HERBIVORES THE REPTILES OF AFRICA WEIRD ANIMALS LIVING IN AFRICA CONCLUSION AUTHOR BIO PUBLISHER Introduction I want to thank you for downloading the book, "An Introduction to the African Wildlife for Kids" This book is a realistic guide that will teach your kids about the wonderful animals that exist on the continent of Africa. For the purpose of conserving the diversity of life, it is important to consider, that every single animal mentioned in this book deserves a lot of care and that anyone can take the necessary steps to make sure that they continue to exist. A big part of the book covers the history of these animals, where they are usually found, what they eat, and that sort of thing; there's a lot to be learnt from this book, but if you just want to jump right in and look at the lovely animals, so that you are aware of them, the pictures will suffice. It is the hope of the author that you'll actually get to learn more about these remarkable African animals so that you can appreciate them and maybe even visit the continent of Africa to see how they look like in their natural habitat. This book talks more about the treasures of African wildlife; a sneak-peek into the life of spectacular wild animals found in the Mother-Continent. Enjoy
Integrated Online Analytical Mining (OLAM)

Integrated Online Analytical Mining (OLAM)

Muhammad Usman

LAP Lambert Academic Publishing
2012
pokkari
Data mining techniques have been applied in decision support systems in order to detect patterns and to mine knowledge from large datasets. These mining techniques can be used together with OLAP to analyze large datasets which can make Online Analytical Processing (OLAP) more useful and easier to apply in decision support systems. Several works in the past proved the likelihood and interest of integrating OLAP with data mining and as a result a new promising direction of Online Analytical Mining (OLAM) has emerged. In this book, a variety of OLAM architectures in the literature were reviewed and the limitations in the previously reported work have been identified. Literature review reveals the fact that none of the previously reported OLAM architectures have integrated enhanced OLAP with data mining. We enhanced the performance of OLAP in terms of cube construction time and visualization by providing interactive visual exploration of data cube. The aim of this book is to propose an integrated OLAM architecture that not only overcomes the existing limitations but also extends the architecture by adding an automation layer for OLAP schema generation.