By Jeffrey D Ullman
Read or Download Mining of Massive DataSets PDF
Similar algorithms and data structures books
Offers practising statisticians and econometricians with new instruments for assessing caliber and reliability of regression estimates. Diagnostic recommendations are built that reduction within the systematic place of knowledge issues which are strange or inordinately influential, and degree the presence and depth of collinear kinfolk one of the regression facts and aid to spot variables eager about each one and pinpoint predicted coefficients in all probability such a lot adversely affected.
ECDL 95 97 (ECDL3 for Microsoft Office 95 97) Database
Module five: Databases This module develops your realizing of the elemental strategies of databases, and may train you ways to take advantage of a database on a private desktop. The module is split in sections; the 1st part covers the way to layout and plan an easy database utilizing a customary database package deal; the second one part teaches you ways to retrieve details from an latest database through the use of the question, decide upon and type instruments to be had within the data-base, and likewise develops your skill to create and adjust experiences.
Using Human Resource Data to Track Innovation
Even though know-how is embodied in human in addition to actual capital and that interactions between technically informed everyone is severe to innovation and know-how diffusion, info on scientists, engineers and different execs haven't been properly exploited to light up the productiveness of and altering styles in innovation.
Additional resources for Mining of Massive DataSets
Sample text
That output is distributed to the Join tasks and becomes their input for the next round. Alternatively, each task can wait until it has produced enough output to justify transmitting its output files to their destination, even if the task has not consumed all its input. 6 it is not essential to have two kinds of tasks. Rather, Join tasks could eliminate duplicates as they are received, since they must store their previously received inputs anyway. However, this arrangement has an advantage when we must recover from a task failure.
If these two components agree, then produce a tuple for the result, with schema (U 1, U 2, U 3). This tuple consists of the first component of t1, the second component of t1 (which must equal the first component of t2), and the second component of t2. We may not want the entire path of length two, but only want the pairs (u, w) of URL’s such that there is at least one path from u to w of length two. If so, we can project out the middle components by computing πU1,U3 (L1 ⊲⊳ L2). 5 : Imagine that a social-networking site has a relation 4 Some descriptions of relational algebra do not include these operations, and indeed they were not part of the original definition of this algebra.
Rather a Map task can produce several key-value pairs with the same key, even from the same element. 1 : We shall illustrate a map-reduce computation with what has become the standard example application: counting the number of occurrences for each word in a collection of documents. In this example, the input file is a repository of documents, and each document is an element. The Map function for this example uses keys that are of type String (the words) and values that 24 CHAPTER 2. LARGE-SCALE FILE SYSTEMS AND MAP-REDUCE are integers.