This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libra...
Networks, Data Mining and Artificial Intelligence
by S.M. Hazarika and D K Bhattacharyya
Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging topics in AI. Various routing and security issues in WSN are dealt in Sections I and II. These two sections discuss Congestion control in wireless environment, signal interference between WLAN & LR-WPAN and its avoidance and Quality of service routing in MANETs. Section III covers significant contributions on design of efficient clustering algorithms for categoric...
Social Media Mining and Social Network Analysis: Emerging Research
This edited book presents the results of the 5th Workshop on Real-world Wireless Sensor Networks (REALWSN). The purpose of this workshop was to bring together researchers and practitioners working in the area of sensor networks, with focus on real-world experiments or deployments of wireless sensor networks. Included were, nonetheless, emerging forms of sensing such as those that leverage smart phones, Internet of Things, RFIDs, and robots. Indeed, when working with real-world experiments or dep...
Advances in Natural Language Processing (Lecture Notes in Computer Science, #6233)
The researchpapersin this volumecomprisethe proceedingsofIceTAL 2010,an international conference on natural language processing (NLP). IceTAL was the seventh in the series of the TAL conferences, following GoTAL 2008 (Goth- burg, Sweden), FinTAL 2006 (Turku, Finland), EsTAL 2004 (Alicante, Spain), PorTAL2002(Faro,Portugal),VexTAL1999(Venice, Italy),andFracTAL1997 (Besancon,France).ThemaingoaloftheTALconferenceserieshasbeentobring together scientists representing linguistics, computer science, an...
An Analytic Inventory of DHS Headquarters Business Processes
by Jeffrey Wenger
Discovery Science (Lecture Notes in Computer Science, #6332) (Lecture Notes in Artificial Intelligence, #6332)
th This volume contains the papers presented at the 13 International Conference on Discovery Science (DS 2010) held in Canberra, Australia, October 6-8, 2010. The main objective of the Discovery Science (DS) conference series is to provide an open forum for intensive discussions and the exchange of new ideas and information among researchers working in the area of automating sci- ti?c discovery or working on tools for supporting the human process of disc- ery in science. It has been a successful...
Information Technology and Mobile Communication (Communications in Computer and Information Science, #147)
This book constitutes the refereed proceedings of the International Conference on Advances in Information Technology and Mobile Communication, AIM 2011, held at Nagpur, India, in April 2011. The 31 revised full papers presented together with 27 short papers and 34 poster papers were carefully reviewed and selected from 313 submissions. The papers cover all current issues in theory, practices, and applications of Information Technology, Computer and Mobile Communication Technology and related to...
Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data...
Targeting Uplift
by Rene Michel, Igor Schnakenburg, and Tobias Von Martens
This book explores all relevant aspects of net scoring, also known as uplift modeling: a data mining approach used to analyze and predict the effects of a given treatment on a desired target variable for an individual observation. After discussing modern net score modeling methods, data preparation, and the assessment of uplift models, the book investigates software implementations and real-world scenarios. Focusing on the application of theoretical results and on practical issues of uplift mo...
Discovery Science (Lecture Notes in Artificial Intelligence, #8140) (Lecture Notes in Computer Science, #8140)
This book constitutes the proceedings of the 16th International Conference on Discovery Science, DS 2013, held in Singapore in October 2013, and co-located with the International Conference on Algorithmic Learning Theory, ALT 2013. The 23 papers presented in this volume were carefully reviewed and selected from 52 submissions. They cover recent advances in the development and analysis of methods of automatic scientific knowledge discovery, machine learning, intelligent data analysis, and their a...
Intelligence Science and Big Data Engineering (Lecture Notes in Computer Science, #8261)
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, held in Beijing, China, in July/August 2013. The 111 papers presented were carefully peer-reviewed and selected from 390 submissions. Topics covered include information theoretic and Bayesian approaches; probabilistic graphical models; pattern recognition and computer vision; signal processing and image processing; machine le...
Bioinformatics Research and Applications (Lecture Notes in Bioinformatics, #6053)
th The 6 International Symposium on Bioinformatics Research and Applications (ISBRA2010)washeldduringMay23-26,2010attheUniversityofConnecticut, Storrs, Connecticut. The symposium provided a forum for the exchange of new results and ideas among researchers, developers, and practitioners working on all aspects of bioinformatics, computational biology, and their applications. The program of the symposium included 20 contributed papers selected by the ProgramCommittee from 57 submissions received in...
Kernel Based Algorithms for Mining Huge Data Sets (Studies in Computational Intelligence, #17)
by Te-Ming Huang, Vojislav Kecman, and Ivica Kopriva
This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.
Business Process Management Workshops (Lecture Notes in Business Information Processing, #308)
This book constitutes revised papers from the eleven International Workshops held at the 15th International Conference on Business Process Management, BPM 2017, in Barcelona, Spain, in September 2017: BPAI 2017 – 1st International Workshop on Business Process Innovation with Artificial Intelligence; BPI 2017 – 13th International Workshop on Business Process Intelligence; BP-Meet-IoT 2017 – 1st International Workshop on Ubiquitous Business Processes Meeting Internet-of-Things; BPMS2 2017 – 10th W...
Conformance Checking
by Josep Carmona, Boudewijn van Dongen, Andreas Solti, and Matthias Weidlich
This book introduces readers to the field of conformance checking as a whole and outlines the fundamental relation between modelled and recorded behaviour. Conformance checking interrelates the modelled and recorded behaviour of a given process and provides techniques and methods for comparing and analysing observed instances of a process in the presence of a model, independent of the model’s origin. Its goal is to provide an overview of the essential techniques and methods in this field at an i...
Fundamentals of Database Indexing and Searching
by Arnab Bhattacharya
Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hi...
Basic Concept of Data Mining
by Prof Raghvendra Kumar and Prof Ashish Kumar Upadhyay