This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Georgia is in the middle of the biggest turmoil of her life. Danger is lurking in every corner, and she doesn't see a way out. Her best friend leaves her, and her sister Jenn can only focus on herself. Will she accept her fate or persevere? If she survives, will she accept solace in Jason's arms? Georgia tries to protect everyone, but who is going to protect her now that Shane is in the Army? Will Cecil win the war? What is to be of the infamous love triangle? Time is ticking for Georgia, and peace doesn't seem to be in sight...

Joseph J. Lawson directs this family film following the adventures of a dog who is left home alone at Christmas. When his owners head to visit relatives for the Christmas holidays they are disappointed that they have to leave their beloved dog Bone behind. However, given that a pair of burglars plan to break into houses that are without their owners for the holidays, it is perhaps just as well that Bone is around. The resourceful dog quickly turns the tables on the burglars, using every trick imaginable to try and repel them from his territory. Davis Cleveland and David DeLuise star.