Câu hỏi gốc môn DBM301

60 câu gốc, sắp theo số đề từng chứa câu đó.

20 kết quả phù hợp nhất

Which of the following is a generative classification algorithm?

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Inclusion dependencies

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Kohonen self-organizing map referred to

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Consider the database containing the transactions $T_1 = \{a_1, a_2, a_3\}$, $T_2 = \{a_2, a_3, a_4\}$, $T_3 = \{a_1, a_3, a_4\}$. Let mini-support (minsup) = 2. Which of the following frequent patterns is NOT closed?

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Is word segmentation on Chinese easier than English?

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What is TRUE about the mixture model and topic modeling?

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If we know the support of itemset $\{a,b\}$ is 10, which of the following numbers are the possible supports of itemset $\{a,b,c\}$? Select all that apply.

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Enumeration is referred to

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Self-organizing maps are an example of ____.

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Naive prediction is

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True or false? In the EM algorithm, the model likelihood monotonically increases.

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Which evaluation method is best for clustering results of a large collection of documents?

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Incremental learning referred to

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Hidden knowledge referred to

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Consider a spatial database that consists of 1000 records. If an item A appears 200 times in the database and the rule “if A, then B” appears 100 times, what are the support and confidence for the rule “if A, then B”?

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Data selection is

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Discovery is

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True or false? Assume we are using word n-grams as features to perform sentiment classification. Then higher values of $n$ will usually be less prone to overfitting (i.e., for higher values of $n$, the difference between training and testing accuracies will be smaller).

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Which of the following issue is considered before investing in Data Mining?

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Let $w$ be a word and $X_w$ be a binary random variable that indicates whether $w$ appears in a text document in the corpus. Assume that the probability $P(X_w=1)$ is estimated by $\dfrac{\operatorname{Count}(w)}{N}$, where $\operatorname{Count}(w)$ is the number of documents that $w$ appears in and $N$ is the total number of documents in the corpus. \nYou are given that "the" is a very frequent word that appears in 99% of the documents and that "photon" is a very rare word that occurs in 1% of the documents. Which word has a higher entropy?

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Câu hỏi gốc môn DBM301

Which of the following is a generative classification algorithm?

Inclusion dependencies

Kohonen self-organizing map referred to

Consider the database containing the transactions $T_1 = \{a_1, a_2, a_3\}$, $T_2 = \{a_2, a_3, a_4\}$, $T_3 = \{a_1, a_3, a_4\}$. Let mini-support (minsup) = 2. Which of the following frequent patterns is NOT closed?

Is word segmentation on Chinese easier than English?

What is TRUE about the mixture model and topic modeling?

If we know the support of itemset $\{a,b\}$ is 10, which of the following numbers are the possible supports of itemset $\{a,b,c\}$? Select all that apply.

Enumeration is referred to

Self-organizing maps are an example of ____.

Naive prediction is

True or false? In the EM algorithm, the model likelihood monotonically increases.

Which evaluation method is best for clustering results of a large collection of documents?

Incremental learning referred to

Hidden knowledge referred to

Consider a spatial database that consists of 1000 records. If an item A appears 200 times in the database and the rule “if A, then B” appears 100 times, what are the support and confidence for the rule “if A, then B”?

Data selection is

Discovery is

True or false? Assume we are using word n-grams as features to perform sentiment classification. Then higher values of $n$ will usually be less prone to overfitting (i.e., for higher values of $n$, the difference between training and testing accuracies will be smaller).

Which of the following issue is considered before investing in Data Mining?