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RapidMiner
Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre
Artificial Intelligence Applications and Innovations II
Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering, intelligent agents, machine learning, neural nets, genetic algorithms and knowledge management. The papers in this volume comprise the refereed proceedings of the Second International Conference on Artificial Intelligence Applications and Innovations,held in Beijing, China in 2005. A very promising sign of the growing importance of Artificial Intelligence techniques in practical applications is the large number of submissions received for the conference - more than 150. All papers were reviewed by at least two members of the Program Committee and the test 93 were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here.
Student-Friendly Teaching Approaches
Schools, which play a fundamental role in the reconstruction of society, have fulfilled their tasks in different ways throughout history. In the last century, there have been great transformations in schooling and teaching, which have led to the emergence of different teaching approaches in different parts of the world. This volume introduces the reader to 10 different teaching approaches: the Emmi Pikler Approach, Montessori Education, the Reggio Emilia Approach, Sudbury Valley Schools, the Jenaplan Education Approach, Waldorf Pedagogy, Freinet Education, the Dalton (Plan) Approach, Schools that Learn, and Democratic Schools. It will appeal primarily to undergraduate and graduate students studying in the field of education, and to researchers working in the field of educational sciences.
Computational Business Analytics
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. Wit...
Advancing the Power of Learning Analytics and Big Data in Education
The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Ed...
Knowledge Discovery from Sensor Data
This book contains thoroughly refereed extended papers from the Second International Workshop on Knowledge Discovery from Sensor Data, Sensor-KDD 2008, held in Las Vegas, NV, USA, in August 2008. The 12 revised papers presented together with an invited paper were carefully reviewed and selected from numerous submissions. The papers feature important aspects of knowledge discovery from sensor data, e.g., data mining for diagnostic debugging; incremental histogram distribution for change detection; situation-aware adaptive visualization; WiFi mining; mobile sensor data mining; incremental anomaly detection; and spatiotemporal neighborhood discovery for sensor data.
Paradoxes
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Italy in the German Literary Imagination
The German fascination with Italy, as seen in Goethe's Italian Journey and in a number of literary reactions to it. Italy has long exerted a particular fascination on the Germans, and this has been reflected in German literature, most prominently in Goethe's Italienische Reise but also by numerous other writers who have returned to the topic. This book is concerned with two inextricably linked images - those of the German traveler in Italy and of Italy in German literature in the first third of the 19th century. Goethe's publication of his account nearly three decades after his actual journey was in some measure a vehicle to resist the challenge of a new generation of writers, who in turn wo...
Data Science Revolution: Bridging Innovation and Real-World Applications
In this chapter, we introduce data science generally and narrow it down to data science for business which is also referred to as Business Analytics. We then give a detailed explanation of the process involved in Business Analytics in the form of the Business Analytics journey. In this journey, we explain what it takes from start to finish to carry out an analytics project in the business world, focusing on small business consulting, even though the process is generic to all types of business, small or large. We also give a description of what small business refers to in this book and the peculiarities of navigating an analytics project in such a terrain. To conclude the chapter, we talk abo...
