{ "item_title" : "Unlocking the Power of Streaming Data", "item_author" : [" James "], "item_description" : "Data streams are defined as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly infinite and temporarily ordered [7, 22]. Instances in data streams arrive fast, either in batches of data, or instance-by-instance; each instance needs to be processed in a timely manner. Due to these characteristics, such as large amount of data and time constraints, tra-ditional static machine learning algorithms are unsuitable for direct use [7]. That is, techniques learning from data streams need to maintain their performance throughout the stream while limiting memory and processing time. Moreover, evolving or non-stationary data streams are susceptible to changes in the distribution of data, also known as concept drifts.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/38/425/594/3384255941_b.jpg", "price_data" : { "retail_price" : "16.99", "online_price" : "16.99", "our_price" : "16.99", "club_price" : "16.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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