As today’s organizations are capturing exponentially larger amounts of data than ever now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques organizations can harness this data discover hidden patterns and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields Big Data: Algorithms Analytics and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data including efficient algorithmic methods to process data better analytical strategies to digest data and representative applications in diverse fields such as medicine science and engineering. The book is organized into five main sections:Big Data Management—considers the research issues related to the management of Big Data including indexing and scalability aspectsBig Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settingsBig Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environmentsBig Data Privacy—focuses on models techniques and algorithms for preserving Big Data privacyBig Data Applications—illustrates practical applications of Big Data across several domains including finance multimedia tools biometrics and satellite Big Data processingOverall the book reports on state-of-the-art studies and achievements in algorithms analytics and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database data warehousing data mining and cloud computing research. It also explores related applications in diverse sectors covering technologies for media/data communication elastic media/data storage cross-network media/data fusion and SaaS. | Big Data Algorithms Analytics and Applications
As today’s organizations are capturing exponentially larger amounts of data than ever now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques organizations can harness this data discover hidden patterns and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields Big Data: Algorithms Analytics and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data including efficient algorithmic methods to process data better analytical strategies to digest data and representative applications in diverse fields such as medicine science and engineering. The book is organized into five main sections:Big Data Management—considers the research issues related to the management of Big Data including indexing and scalability aspectsBig Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settingsBig Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environmentsBig Data Privacy—focuses on models techniques and algorithms for preserving Big Data privacyBig Data Applications—illustrates practical applications of Big Data across several domains including finance multimedia tools biometrics and satellite Big Data processingOverall the book reports on state-of-the-art studies and achievements in algorithms analytics and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database data warehousing data mining and cloud computing research. It also explores related applications in diverse sectors covering technologies for media/data communication elastic media/data storage cross-network media/data fusion and SaaS. | Big Data Algorithms Analytics and Applications
Sellers offer a range of delivery options, so you can choose the one that’s most convenient for you. Many sellers offer free delivery. You can always find the postage cost and estimated delivery date in a seller’s listing. You'll then be able to see a full list of delivery options during checkout. These can include: Express delivery, Standard delivery, Economy delivery, Click & Collect, Free local collection from seller.
Your options for returning an item vary depending on what you want to return, why you want to return it, and the seller's return policy. If the item is damaged or doesn't match the listing description, you can return it even if the seller's returns policy says they don't accept returns. If you've changed your mind and no longer want an item, you can still request a return, but the seller doesn't have to accept it. If the buyer changes their mind about a purchase and wants to return an item, they may need to pay return postage costs, depending on the seller's return policy. Sellers can provide a return postage address and additional return postage information for the buyer. Sellers pay for return postage if there's a problem with the item. For example, if the item doesn't match the listing description, is damaged or defective or is counterfeit. By law, customers in the European Union also have the right to cancel the purchase of an item within 14 days beginning from the day you receive, or a third party indicated by you (other than the carrier) receives, the last good ordered by you (if delivered separately). This applies to all products except for digital items (e.g. Digital Music) that are provided immediately to you with your acknowledgement, and other items such as video, DVD, audio, video games, Sex and Sensuality products and software products where the item has been unsealed.
Sellers have to offer a refund for certain items only if they are faulty, such as: Personalised items and custom-made items, Perishable items, Newspapers and magazines, Unwrapped CDs DVDs and computer software. If you used your PayPal balance or bank account to fund the original payment, the refunded money will go back to your PayPal account balance. If you used a credit or debit card to fund the original payment, the refunded money will go back to your card. The seller will effect the refund within three working days but it may take up to 30 days for Paypal to process the transfer. For payments funded partially by a card and partially by your balance/bank, the money taken from your card will go back to your card and the remainder will return to your PayPal balance.